Hydrogen Cars, y’all Alan Branch Kellyn Parker Kevin Szawala.
Y’all Need a Runninback ?
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Transcript of Y’all Need a Runninback ?
Y’ALL NEED A RUNNINBACK?By: Chris Torgalski & Jin Lee
WHAT IS A RUNNING BACK? A running back (RB) is a position on a
football team. He usually lines up behind the linemen
and the quarterback. His job is to take handoffs and pitches,
occasionally go out for passes, and to block for the quarterback.
He is also referred to as a tailback or halfback.
WHAT WE WANT TO FIND Is there a relationship between loss of
production and turning 30 years old for NFL running backs? Rushing Yards Rushing Touchdowns
What is the average amount of Pro Bowls a running back makes?
HOW WE COLLECTED DATA List of running drafted between 1995
and 2004 Assign each player a number Randomly generate a number until we
had a list of 50 running backs that met our criteria without any repeats
1 SAMPLE T-TEST:RUSHING YARDS DIFFERENCE (YARDS AT 25-YARDS AT 30)
Ho: µrushing difference = 0Ha: µrushing difference > 0
= 3.457
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
xtsn
P(T > 3.457 l df = 49)
= .00057
We reject the HO because our P-value of .00057 < alpha = .05.We have sufficient evidence that the rushing difference between age 25 and 30 for running backs is greater than 0. This means running rush for more yards at age 25 than they do at age 30.
Conditions met -> t distribution -> 1 sample t-test
1 SAMPLE T-INTERVAL:RUSHING YARDS DIFFERENCE (YARDS AT 25-YARDS AT 30)
df= 49= (123.384 , 465.976)
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
We are 95% confident that the true difference in rushing yards between ages 25 and 30 is 123.384 and 465.976 yards.
Conditions met -> t distribution -> 1 sample t-interval
* sx tn
RUSHING DIFFERENCE GRAPHS
Shape: unimodal, symmetric Center: mean - 295.413 Spread: (-869,1566) Most running backs rush for about 295.413 more
yards when they are 25 than when they are 30.
Rushing_Difference-1000 -500 0 500 1000 1500
Collection 1 Box Plot
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2
3
4
5
6
7
8
9
Rushing_Difference-1000 -500 0 500 1000 1500 2000
Collection 1 Histogram
Collection 1
Rushing_Difference
295.413-869-128
224.5745
1566601.333
S1 = meanS2 = minS3 = Q1S4 = medianS5 = Q3S6 = maxS7 = s
1 SAMPLE T-TEST:RUSHING TOUCHDOWN DIFFERENCE (TOUCHDOWNS AT 25- TOUCHDOWNS AT 30)
Ho: µtouchdown difference = 0Ha: µtouchdown difference > 0
= 2.485
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
xtsn
P(T > 2.485 l df = 49)
= .0082
We reject the HO because our P-value of .0082 < alpha = .05.We have sufficient evidence that the touchdown difference between age 25 and 30 for running backs is greater than 0. This means running rush for more touchdowns at age 25 than they do at age 30.
Conditions met -> t distribution -> 1 sample t-test
1 SAMPLE T-INTERVAL:RUSHING YARDS DIFFERENCE (YARDS AT 25-YARDS AT 30)
df= 49= (.447338 , 4.23266)
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
We are 95% confident that the true difference in rushing touchdowns between ages 25 and 30 is .447338 and 4.23266 touchdowns.
Conditions met -> t distribution -> 1 sample t-interval
* sx tn
TOUCHDOWN DIFFERENCE GRAPHS
Shape: unimodal, roughly symmetric Center: mean - 2.34 Spread: (-20,20) Most running backs score about 2.34 touchdowns
more when they are 25 then when they are 30.
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4
6
8
10
12
TD_Difference-20 -10 0 10 20
Collection 1 Histogram
TD_Difference-20 -10 0 10 20
Collection 1
TD_Difference
2.34-20
016
206.65969
S1 = meanS2 = minS3 = Q1S4 = medianS5 = Q3S6 = maxS7 = s
1 SAMPLE T-TEST:PRO BOWLS MADE
Ho: µpro bowls made = 1Ha: µpro bowls made > 1
= 1.275
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
xtsn
P(T > 1.275 l df = 49) = .1
We fail to reject the HO because our P-value of .1 > alpha = .05.We have sufficient evidence that running backs make 1 Pro Bowl during their career in the NFL.
Conditions met -> t distribution -> 1 sample t-test
1 SAMPLE T-INTERVAL:PRO BOWLS MADE
df= 49= (.838827 , 1.72117)
State Check1)SRS 1) Stated random2) Pop ≥ 10n 2) All RB in history ≥ 5003)Normal pop or n ≥ 30 3) n = 50
We are 95% confident that the true number of Pro Bowls that a running back makes during his career in the NFL is between .838827 and 1.72117 Pro Bowls.
Conditions met -> t distribution -> 1 sample t-intevral
* sx tn
PRO BOWLS MADE GRAPHS
Shape: unimodal, right-skewed Center: median - 1 Spread: (0,5) Most running backs make about 1 Pro Bowl.
Pro_Bowl0 1 2 3 4 5 6
Collection 1 Box Plot
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10
15
20
25
Pro_Bowl-1 0 1 2 3 4 5 6 7
Collection 1 Histogram
Collection 1
Pro_Bowl
1.2800125
1.55235S1 = meanS2 = minS3 = Q1S4 = medianS5 = Q3S6 = maxS7 = s
RUSHING YARDS SCATTERPLOT
Formula: RY@30 = .286(RY@25) + 300
Interpretation: rushing yards at 25 times .286 plus 300 = rushing yards at 30
0200400600800
100012001400160018002000
0 400 800 1200 1600 2000Rushing_Yards_at_25
Rushing_Yards_at_30 = 0.286Rushing_Yards_at_25 + 3e+02; r2 = 0.12
Collection 1 Scatter Plot
TOUCHDOWN SCATTERPLOT
Formula: TD@30 = .116(TD@25) + 2.8
Interpretation: touchdowns at 25 times .116 plus 2.8 = touchdowns at 30
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20
25
30
TD_at_250 2 4 6 8 10 12 14 16 18 20 22
TD_at_30 = 0.116TD_at_25 + 2.8; r2 = 0.016
Collection 1 Scatter Plot
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1298 Touchdowns:
12 Age 30
prediction Yards: 671.228 Touchdowns:
4.192ADRIAN PETERSON
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1364 Touchdowns:
11 Age 30
prediction Yards: 690.104 Touchdowns:
4.076CHRIS JOHNSON
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1008 Touchdowns:
13 Age 30
prediction Yards: 588.288 Touchdowns:
4.308BENJARVIUS GREEN-ELLIS
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1515 Touchdowns:
18 Age 30
prediction Yards: 733.29 Touchdowns:
4.888DEANGELO WILLIAMS
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1324 Touchdowns: 5
Age 30 prediction Yards: 678.664 Touchdowns:
3.38
MAURICE JONES DREW
WHO IS THIS RUNNING BACK? Age 25 Stats
Yards: 1042 Touchdowns: 7
Age 30 prediction Yards: 598.012 Touchdowns:
3.612
STEVEN JACKSON
APPLICATION Running backs are better statistically at
age 25 than they are at age 30. This means running backs should work
to become productive earlier in their careers in order to obtain a large contract early.
The player might want to work harder than planned at age 30 so that they can improve their production.
BIAS/ERROR The running back got hurt during their
season for being 25 or 30 The running back could have been a
starter for one season and a backup for the other
The offensive line could have been better one year than it is the other.
CONCLUSION/OPINION We would choose to have a running back
age 25 on our team instead of a running back age 30
Running backs that are 25 score more touchdowns and gain more yards
They will also be in the league longer due to younger age
We found out running backs will make around one Pro Bowl in their career