Using the Regression Line to Make Predictions The Line of Best Fit or Regression Line.
4.6 Fit a Line to Data
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Warm-Up Exercises 4.6 Fit a Line to Data • You will make scatter plots and write equations to model data. • Essential Question: How do you make scatter plots and write equations to model data? Predict! You will learn how to answer this question by graphing data pairs and by finding a line of fit for the data pairs.
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4.6 Fit a Line to Data. Predict!. You will make scatter plots and write equations to model data. Essential Question: How do you make scatter plots and write equations to model data?. - PowerPoint PPT Presentation
Transcript of 4.6 Fit a Line to Data
4.6 Fit a Line to Data
• You will make scatter plots and write equations to model data.
• Essential Question: How do you make scatter plots and write equations to model data?
Predict!
You will learn how to answer this question by graphing data pairs and by finding a line of fit for the data pairs.
Warm-Up ExercisesEXAMPLE 1 Describe the correlation of data
Describe the correlation of the data graphed in the scatter plot.
a.
The scatter plot shows a positive correlation between hours of studying and test scores. This means that as the hours of studying increased, the test scores tended to increase.
a.
Warm-Up ExercisesEXAMPLE 1 Describe the correlation of data
b.
The scatter plot shows a negative correlation between hours of television watched and test scores. that as the hours of television This means that as the hours of television watched increased, the test scores tended to decrease.
b.
Warm-Up ExercisesGUIDED PRACTICE for Example 1
Using the scatter plots in Example 1, predict a reasonable test score for 4.5 hours of studying and 4.5 hours of television watched.
1.
Sample answer: 72, 77
ANSWER
Warm-Up Exercises
Swimming Speeds
EXAMPLE 2 Make a scatter plot
The table shows the lengths (in centimeters) and swimming speeds (in centimeters per second) of six fish.
a. Make a scatter plot of the data.
b. Describe the correlation of the data.
Warm-Up ExercisesEXAMPLE 2 Make a scatter plot
Treat the data as ordered pairs. Let x represent the fish length (in centimeters), and let y represent the speed (in centimeters per second). Plot the ordered pairs as points in a coordinate plane.
SOLUTION
a.
The scatter plot shows a positive correlation, which means that longer fish tend to swim faster.
b.
Warm-Up ExercisesGUIDED PRACTICE for Example 2
Make a scatter plot of the data in the table. Describe the correlation of the data.
2.
ANSWER
The scatter plot shows a positive correlation.
Warm-Up Exercises
BIRD POPULATIONS
EXAMPLE 3 Write an equation to model data
The table shows the number of active red-cockaded woodpecker clusters in a part of the De Soto National Forest in Mississippi. Write an equation that models the number of active clusters as a function of the number of years since 1990.
Year 1992 1993 1994 1995 1996 1997 1998 1999 2000
Active clusters
22 24 27 27 34 40 42 45 51
Warm-Up Exercises
STEP 1
SOLUTION
EXAMPLE 3 Write an equation to model data
Make a scatter plot of the data. Let x represent the number of years since 1990. Let y represent the number of active clusters.
Warm-Up Exercises
STEP 3
EXAMPLE 3 Write an equation to model data
STEP 4
STEP 2Decide whether the data can be modeled by a line. Because the scatter plot shows a positive correlation, you can fit a line to the data.
Draw a line that appears to fit the points in the scatter plot closely.
Write an equation using two points on the line. Use(2, 20) and (8, 42).
Warm-Up Exercises
Write slope-intercept form.
Find the slope of the line.
EXAMPLE 3 Write an equation to model data
m = 113
42 – 208 – 2 = 22
6 =y2 – y1x2 – x1
=
Find the y-intercept of the line. Use the point (2, 20).
y = mx + b
20 = (2) + b113
Substitute for m, 2 for x, and 20 for y.113
Warm-Up ExercisesEXAMPLE 3 Write an equation to model data
383 = b Solve for b.
An equation of the line of fit is y = 113
x + .383
The number y of active woodpecker clusters can be modeled by the function y = where x is the number of years since 1990.
ANSWER
113
x + 383
Warm-Up ExercisesGUIDED PRACTICE for Example 3
3. Use the data in the table to write an equation that models y as a function of x.
ANSWER Sample answer: y = 1.6x + 2.3
Warm-Up Exercises
a. Describe the domain and range of the function.
EXAMPLE 4 Interpret a model
Refer to the model for the number of woodpecker clusters in Example 3.
b. At about what rate did the number of active woodpecker clusters change during the period 1992–2000?
Warm-Up ExercisesEXAMPLE 4 Interpret a model
SOLUTION
The domain of the function is the the period from 1992 to 2000, or 2 x 10. The range is the the number of active clusters given by the function for 2 x 10, or 20 y 49.3.
a.
The number of active woodpecker clusters increased at a rate of or about 3.7 woodpecker clusters per year.
113
b.
Warm-Up ExercisesEXAMPLE 4GUIDED PRACTICE for Example 4
In Guided Practice Exercise 2, at about what rate does y change with respect to x.
4.
ANSWER about 1.6
• You will make scatter plots and write equations to model data.
• Essential Question: How do you make scatter plots and write equations to model data?• A scatter plot shows
whether there is a positive, negative, or no correlation in the data.• A line of fit can model data. The points you use to find the equation must be on the line, but they do not have to be actual data values.
Plot paired data in a coordinateplane. For a positive or negativecorrelation, draw a line of fit, with about the same number of points above and below the line. Use two points on the line to find the slope and then use the slope and a point to find the y-intercept. Write an equation of the line.
Warm-Up ExercisesDaily Homework Quiz
1. Tell whether x and y show a positive correlation, a negative correlation, or relatively no correlation.
ANSWER negative correlation.
Warm-Up ExercisesDaily Homework Quiz
y = 3.1x – 10.3, where x is body length and y is wingspan.
ANSWER
2.
The table shows the body length and wingspan (both in inches) of seven birds. Write an equation that models the wingspan as a function of body length.
