MinhNguyen Q8 16Mar12 48

StudentInstructions

Assignment InstructionsQuiz: 8Please do not (otherwise you will jeopardise the grading process): -rename this workbook -rename any sheets -insert any columns into a sheet -insert any rows into a sheet

Read the Multiple Choice and Excel assignment(s) carefully and do the following:You have to complete every cell colored yellow

For every cell colored yellow, you have to decide:Dropdown -> Every cell with a dropdown, choose the appropriate response from the dropdownValue -> enter the appropriate numeric, date/time or text valueFormula -> enter the appropriate formula e.g. '=A1+B1' press EnterArray Formula -> enter the appropriate array formula e.g. '=LINEST(A1:A12, B1:B12, True, True)' press Ctrl+Shift+Enter

The initial due date/time for this assignment is Sunday, March 22, 2015 --- 6:00:00 PM

The retake due date/time for this assignment is Sunday, March 22, 2015 --- 6:00:00 PM

MultipleChoiceMC-00108101Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow:

MaintenanceMachineMonthCostHoursJanuary$3,570401February$2,600268March$3,000330April$2,426250May$3,676430June$2,469257July$2,580269August$3,666438September$3,660412October$3,370392November$2,770294December$2,662280Sum$36,4494,021Average$3,037335

Average cost per hour$9.06a (intercept)$721.47b (coefficient)$6.91Standard error of the estimate52.3601R-squared.9905t-value for b32.3476

The coefficient of determination for Armer's regression equation for the maintenance activities is

A.0.213665B.0.990534C.0.715559D.0.995256E.None of the aboveAnswer:B.

MC-00208071Georgia Meadows Company uses the high-low method to analyze production costs. The following information relates to the production data for the first six months of the year.

MonthCost (Y)Hours (H)January$8,5426,530$9,7007,500February$7,7505,950$7,2005,500March$9,7007,500$2,5002,000April$7,4355,700May$7,2005,500June$9,2636,750$1.25

How should the cost function be properly stated using the high-low method?$325A.Y = $9,263 + $0162HB.Y = $1,025 + $125HC.Y = $875 + $105HD.Y = $325 + $125HAnswer:D.

MC-00308082Burmer Co. has accumulated data to use in preparing its annual profit plan for the upcoming year. The cost behavior pattern of the maintenance costs must be determined. Data regarding the machine hours and maintenance costs for the last year and the results of the regression analysis are as follows:


A staff assistant has run regression analyses on the data and obtained the following output using Excel:REGRESSION ANALYSISY (Dependent) Variable: Maintenance CostX (Independent) Variable: Maintenance Hours

The 95% confidence range for a prediction of monthly manufacturing cost using the model is:

A.The range of +/- $65.79 x 2 = $131.58 around the predicted amountB.From $649 to $706C.From $631 to $936D.The range of +/- $65.79 around the predicted amountAnswer:A.



A staff assistant has run regression analyses on the data (you still need to do this) and obtained the following output using Excel:REGRESSION ANALYSISY (Dependent) Variable: Maintenance CostX (Independent) Variable: Maintenance Hours

The t statistic for the independent variable:

A.At 11.46, is statistically significantB.At 52.78, is too large to be statistically significantC.Is statistically significant at less than 5% riskD.Lies somewhere between 6.49 and 7.063Answer:C.

MC-00508061Bradford Company derived the following cost relationship from a regression analysis of its monthly manufacturing overhead cost:

C = $80,000 + $12Mwhere:C = monthly manufacturing overhead cost, andM = machine hours

The standard error of estimate of the regression is $6,000 The standard time required to manufacture one six-unit case of Bradford's single product is two machine hours Bradford applies manufacturing overhead to production on the basis of machine hours, and its normal annual production is 50,000 cases

Bradford's estimated variable manufacturing overhead cost for a month in which scheduled production is 5,000 cases would be:

A.$120,000B.$140,000C.$80,000D.$200,000E.Some amount other than those given aboveAnswer:B.

MC-00608062If the coefficient of correlation between two variables is nearly zero, how might a graph of these variables appear?

A.Under this condition, a scatter diagram could not be plotted on a graphB.A least squares line that slopes down to the rightC.Random pointsD.A least squares line that slopes up to the rightAnswer:C.

MC-00708125Examine this chart.

In the learning curve, Y = a*X^bThe value of b is:

A.685.70B.-0.310C.0.0220D.0.9901E.None of the above are correctAnswer:B.

MC-00808078A range around the regression line within which the management accountant can rely that the actual value of the predicted cost will fall is referred to as:

A.A p-valueB.A t-valueC.A relevant rangeD.A goodness of fitE.A confidence intervalAnswer:E.


The standard error value for the coefficient m11.924797

In regard to the variable cost, maintenance cost per direct labor hour, I am 95% confident the cost will vary between:

A.$18.38and$28.00B.$20.30and$26.08C.$21.26and$25.11D.$17.41and$28.96E.$19.34and$27.04Answer:E.

MC-01008108Examine this diagram:

Choose the best answer.

A.Supplies Expense Data for Regression ApplicationB.Regression with High R- SquaredC.The Effect of Outliers on RegressionD.The Regression Line for Supplies Expense with Units of Output as the Cost Driver ( i. e., independent variable)E.Regression with Low R- SquaredAnswer:D.

MC-01108028CalcuCo hired Effner & Associates to design a new computer-aided manufacturing facility. The new facility was designed to produce 260 computers per month. The variable costs for each computer are $570 and the fixed costs total $64,020 per month. The average cost per unit, if the facility normally expects to operate at seventy four percent of capacity, is calculated to be (round to nearest cent):

A.$952.74B.$977.74C.$902.74D.$927.74E.$1,002.74Answer:C.



A staff assistant has run regression analyses on the data and obtained the following output using Excel:REGRESSION ANALYSISY (Dependent) Variable: Maintenance CostX (Independent) Variable: Maintenance Hours

Using regression analysis, what is the estimated maintenance expense for a month that the firm expects to operate 640 machine hours (round to nearest whole dollar)?

A.$5,660B.$6,160C.$5,160D.$6,660Answer:C.

MC-01308044Which of the following provides the most accurate cost estimation?

A.Regression analysis with R-squared of 0.12B.High-low methodC.Regression analysis with R squared of 0.89D.Regression analysis with F value of 1.2Answer:C.

MC-01408027Home Remodeling Inc. recently obtained a short-term bank loan from City National Bank. The bank required that certain credit information and pro forma financial statements be maintained through the life of the loan. In order to prepare the pro forma statements, Home Remodeling must forecast total overhead cost. The actual machine hours and overhead cost are presented below for the past six months.

TotalMachineMonthOverheadHoursJan$3,2141,281Feb$3,5241,399Mar$2,9971,126Apr$3,2051,218May$3,2681,227Jun$3,4451,300

Using the high-low method, total monthly fixed overhead cost is calculated to be:

A.$773B.$723C.$873D.$673E.$823Answer:E.

MC-01508099Armer Company is accumulating data to use in preparing its annual profit plan for the coming year. The cost behavior pattern of the maintenance costs must be determined. The accounting staff has suggested the use of linear regression to derive an equation for maintenance hours and costs. Data regarding the maintenance hours and costs for the last year and the results of the regression analysis follow:



If Armer Company uses the high-low method of analysis, the equation for the relationship between hours of activity and maintenance cost follows:

A.y = $743.15 + $7.36xB.y = $617.29 + $7.36xC.y = $617.29 + $7.65xD.y = $743.15 + $7.65xE.None of the aboveAnswer:A.

MC-01608019Which one the following is a variable that takes on values of 1, 2, 3, for each period in sequence?

A.Trend variableB.Independent variableC.Dependent variableD.Dummy variableE.Price change indexAnswer:A.

MC-01708086The Lower 95% and Upper 95% shown in the Excel Analysis Toolpak Regression output suggests that:

A.We can be 95% confident that the statistical reliability of the regression equation will be within the ranges specifiedB.We can be 95% confident that the coefficients of the independent variables will be within the ranges specifiedC.We can be 95% confident that the precision of the regression equation will be within the ranges specifiedD.We can be 95% confident that the coefficients of the dependent variable will be within the ranges specifiedE.We can be 95% confident that the regression equation will be within the ranges specifiedAnswer:C.


In the learning curve, Y = a*X^bThe value of b is:

A.-0.330B.0.0342C.0.9790D.663.39E.None of the above are correctAnswer:A.

MC-01908021Felinas Inc. produces floor mats for cars and trucks. The owner, Kenneth Felinas, asked you to assist him in estimating his maintenance costs. Together, Mr. Felinas and you determined that the single best cost driver for maintenance costs was machine hours. Below are data from the previous fiscal year for maintenance expense and machine hours:

MaintenanceMachineMonthExpenseHours1$3,0102,1302$3,2092,2303$3,3432,3204$3,4552,2785$3,4442,1976$3,6002,3347$3,4392,3438$3,3222,2929$2,9862,14010$2,7961,99011$2,6811,61712$2,8591,950

Using the high-low method, total monthly fixed cost is calculated to be:

A.$992.73B.$1,002.73C.$1,012.73D.$972.73E.$982.73Answer:A.

MC-02008098A p-value of less than _______ is typically considered statistically significant

A.5B.0.05C.0.5D.0.005Answer:B.

MC-02108030The following costs were for Optimal View Inc., a contact lens manufacturer:

FixedVariableTotalOutputCostCostCost270$4,720$9,720$14,440314$4,720$11,304$16,024358$4,720$12,888$17,608402$4,720$14,472$19,192

At an output level of 376 lenses, per unit variable cost is calculated to be:

A.$35.25B.$36.00C.$35.00D.$35.75E.$35.50Answer:B.

MC-02208094The following costs were for Bikeway Inc., a bicycle manufacturer:

FixedVariableTotalOutputCostCostCost850$26,200$85,000$111,200904$26,200$90,400$116,600958$26,200$95,800$122,0001,012$26,200$101,200$127,400

At an output level of 1,066 bicycles, per unit variable cost is calculated to be:

A.$150B.$90C.$110D.$120E.$100Answer:E.

MC-02308005Data collected on the cost objects and cost drivers for cost estimation must be:

A.ConcreteB.VariedC.ExhaustiveD.Brief and limitedE.Consistent and accurateAnswer:E.

MC-02408053A manager uses regression to express sales as a function of advertising expenditures (X1), and per capita income (X2) in your sales area. The following multiple linear regression equation is developed:Y = 10 + .51X1 + .45X2The coefficient of determination is .96

This coefficient of determination explains that:

A.The dependent variable is not related to advertising expenditures and per capita incomeB.96% of sales variations are explained by the equationC.96% of sales variations are due to an error termD.Only 4% of the sales variations are explained by advertising expenditures and per capital incomeAnswer:B.

MC-02508047A company allocates its variable factory overhead based on direct labor hours During the past three months, the actual direct labor hours and the total factory overhead allocated were as follows:

JanFebMarDirect labor hours1,1003,4005,600Total overhead allocated$90,000$153,000$220,000

Based upon this information, monthly fixed factory overhead was:

A.$53,222B.$63,222C.$68,222D.$58,222Answer:D.




The percent of the total variance that can be explained by the regression equation is

A.24.52%B.69.07%C.99.45%D.98.90%E.None of the aboveAnswer:D.

MC-02708041Based on the maintenance expenses of a company are to be analyzed for purposes of constructing a flexible budget. Examination of past records disclosed the following costs and volume measures:

HighestLowestCost per month$88,700$74,900Machine hours98,00066,900

Using the high-low technique, estimate the annual fixed cost for maintenance expenditures:

A.$55,214B.$45,214C.$542,574D.$552,574E.$60,214Answer:B.

MC-02808112Examine this diagram:

Choose the best answer.

A.The Regression Line for Supplies Expense with Units of Output as the Cost Driver ( i. e., independent variable)B.Regression with High R- SquaredC.Regression with Low R- SquaredD.Selected Independent Variables and Dependent Variables for Costs in a Retail StoreE.Supplies Expense Data for Regression ApplicationAnswer:C.




Based on the data derived from the regression analysis, 408 maintenance hours in a month mean that maintenance costs should be budgeted to the nearest dollar at

A.$3,577$3,618.32B.$3,591C.$3,619D.$3,605E.None of the aboveAnswer:C.

MC-03008092Which of the following is the percentage by which average time (or total time) falls from previous levels as output doubles?

A.Learning curveB.Learning analysisC.Learning rateD.Learning averageE.Learning speedAnswer:C.

Problem_C08_#235Horton Manufacturing Inc. produces blinds and other window treatments for residential homes and offices. The owner is concerned about the maintenance costs for the production machinery, as maintenance costs for the previous fiscal year were higher than he expected. The owner has asked you to assist in estimating future maintenance costs to better predict the firms profitability. Together, you have determined that the best cost driver for maintenance costs is machine-hours. The data from the previous fiscal year for maintenance expense and machine-hours are as follows:Excel InstructionsMonthExpenseHoursNo additional Excel instructions1$3,5221,771No pivot tables, no tables/lists, no range names, no charts, no Solver models, no Analysis Toolpak procedures2$3,5112,0133$3,2091,9874$3,4692,0545$3,4622,2516$3,5902,3377$3,5262,2098$4,0192,2829$3,3192,18910$3,2431,65411$3,2501,98312$3,5741,7541. What is the cost equation for maintenance cost using the high-low method?CostHoursMax$3,590
Paul Goldwater: Array formula -range of cells: $E$19 -tokens used (sorted): C15, C4, D15, D4, G19, IF, MAXCell format: - number format: $#,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used2,337
Paul Goldwater: Simple formula -tokens used (sorted): D15, D4, MAXCell format: - number format: #,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

Min$3,243
Paul Goldwater: Array formula -range of cells: $E$20 -tokens used (sorted): C15, C4, D15, D4, G20, IF, MINCell format: - number format: $#,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: Single - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used1,654
Paul Goldwater: Simple formula -tokens used (sorted): D15, D4, MINCell format: - number format: #,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: Single - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

Difference$347
Paul Goldwater: Simple formula -tokens used (sorted): E19, E20Cell format: - number format: $#,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used683
Paul Goldwater: Simple formula -tokens used (sorted): G19, G20Cell format: - number format: #,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

Varaible cost$0.51
Paul Goldwater: Simple formula -tokens used (sorted): E21, G21Cell format: - number format: $#,##0.00 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

Fixed costs (use max)$2,402.68
Paul Goldwater: Simple formula -tokens used (sorted): E19, F23, G19Cell format: - number format: $#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

2. Calculate MAPE for the equation you developed in part 1.MonthExpenseHoursHi-Lo EstimateMAPE1$3,522
Paul Goldwater: Simple formula -tokens used (sorted): C4Cell format: - number format: $#,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used1,771
Paul Goldwater: Simple formula -tokens used (sorted): D4Cell format: - number format: #,### - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used$3,302
Paul Goldwater: Simple formula -tokens used (sorted): D30, F23, F24Cell format: - number format: $#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used6.2%
Paul Goldwater: Simple formula -tokens used (sorted): ABS, C30, E30Cell format: - number format: 0.0% - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

2$3,511

3$3,209

4$3,469

5$3,462

6$3,590

7$3,526

8$4,019

9$3,319

10$3,243

11$3,250

12$3,574

Any outliersYes
Paul Goldwater: BlankCell format: - number format: General - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

Problem_C08_#255Plantcity is a large nursery and retail store specializing in house and garden plants and supplies. Jean Raouth, the assistant manager, is in the process of budgeting monthly supplies expense for 2013. She assumes that in some way supplies expense is related to sales, either in units or in dollars. She has collected these data for sales and supplies expenses for June 2010 through December 2012, and has estimated sales for 2013. Excel InstructionsDateSupplies ExpenseSales UnitsSales DollarsNo additional Excel instructionsFebruary-15$2,486300$1,884No pivot tables, no tables/lists, no range names, no charts, no Solver models, no Analysis Toolpak proceduresJanuary-15$3,272366$1,804December-14$2,196481$2,379November-14$2,234114$1,582October-14$1,972185$2,070September-14$3,538487$2,085August-14$3,093941$2,302July-14$1,416169$1,374June-14$2,429233$1,952May-14$1,761195$1,528April-14$2,141282$2,030March-14$3,365433$2,794February-14$2,777444$2,409January-14$3,134305$1,878December-13$2,768377$2,062November-13$2,029169$1,636October-13$2,237262$1,951September-13$2,519372$1,931August-13$3,240933$2,815July-13$1,93681$1,902June-13$1,566164$1,716May-13$3,330228$2,267April-13$2,772405$2,052March-13$2,017148$2,039February-13$2,946309$1,957January-13$1,661192$1,667December-12$2,540245$1,383November-12$2,281114$1,661October-12$2,278220$1,591September-12$1,882200$1,692August-12$2,8711,015$2,346March-15143$1,377April-15205$1,416May-15197$1,969June-15352$1,710July-15341$1,778August-15285$1,532September-15361$2,030October-15547$2,646November-15248$1,958December-15235$1,837January-16348$2,997February-16347$3,0041. Develop the regression that Jean should use based on the above data and using the regression procedure REGRESSION in Excel Analysis Toolpak - enter the following Regression results.Model:Supplies Expense = F(Sales Units and Sales Dollars)Supplies Expense = F(Sales Units)Supplies Expense = F(Sales Dollars)R Square0.43437
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedR Square0.34675
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedR Square0.34675
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

CoefficientsStandard Errort StatP-valueCoefficientsStandard Errort StatP-valueCoefficientsStandard Errort StatP-valueIntercept923.70437
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used531.19132
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedIntercept1,989.51509
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedIntercept499.37518

Sales Units0.76954
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedSales Units1.44778
Paul Goldwater: Numberenter a numeric valueCell format: - number format: #,##0.00000;[Red]#,##0.00000 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name usedSales Dollars1.00769

Sales Dollars0.65975

2. What are the predicted monthly figures for supplies expense for 2013?Model to use:Supplies = F (Sales Dollars)
Paul Goldwater: Textenter a text valueCell format: - number format: General - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: $C$62:$F$62 - indent level: no indentationCell name: no cell name used

DateSales UnitsSales DollarsPredicted Supplies ExpenseSupplies Expense = F(Sales Units and Sales Dollars)Supplies Expense = F(Sales Units)Supplies Expense = F(Sales Dollars)March-15143$1,377$2,197
Paul Goldwater: Simple formula -tokens used (sorted): J65Cell format: - number format: $#,##0;[Red]$#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used$1,942
Paul Goldwater: Simple formula -tokens used (sorted): C56, C57, C58, D65, E65Cell format: - number format: $#,##0;[Red]$#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used$2,197
Paul Goldwater: Simple formula -tokens used (sorted): D65, H56, H57Cell format: - number format: $#,##0;[Red]$#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used$1,887
Paul Goldwater: Simple formula -tokens used (sorted): E65, M56, M57Cell format: - number format: $#,##0;[Red]$#,##0 - horizontal alignment: None - vertical alignment: bottom - wrap text: False - font name: Calibri - font size: 12 - font underline: None - font color: Red 0, Green 0, Blue 0 - font bold: False - interior color: Red 255, Green 255, Blue 204 - merge area: no cells merged - indent level: no indentationCell name: no cell name used

April-15205$1,416$2,286

May-15197$1,969$2,275

June-15352$1,710$2,499

July-15341$1,778$2,483

August-15285$1,532$2,402

September-15361$2,030$2,512

October-15547$2,646$2,781

November-15248$1,958$2,349

December-15235$1,837$2,330

January-16348$2,997$2,493

February-16347$3,004$2,492

SUMMARY OUTPUT

Regression StatisticsMultiple R0.659069645R Square0.434372797Adjusted R Square0.3939708539Standard Error452.7370570598Observations31

ANOVAdfSSMSFSignificance FRegression24407399.819969652203699.909984

MinhNguyen Q8 16Mar12 48

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