In: Statistics and Probability
The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks.
Completion Percentage | 57 | 57 | 57 | 57 | 60 |
---|---|---|---|---|---|
Interception Percentage | 4.9 | 4.3 | 2.9 | 2.7 | 1.4 |
Step 1 of 5:
Calculate the sum of squared errors (SSE). Use the values b0=47.4019 and b1=−0.7667 for the calculations. Round your answer to three decimal places.
Step 2 of 5:
Calculate the estimated variance of errors, s2e . Round your answer to three decimal places.
Step 3 of 5:
Calculate the estimated variance of slope, s2b1 . Round your answer to three decimal places.
Step 4 of 5:
Construct the 98% confidence interval for the slope. Round your answers to three decimal places.
Step 5 of 5:
Construct the 90% confidence interval for the slope. Round your answers to three decimal places.
Let
Y=Interception Percentage
X=Completion Percentage
The regression model that we want to estimate is
where is the intercept and is the slope and is a random disturbance
The estimated regression line (using the values b0=47.4019 and b1=−0.7667) is
Step 1 of 5
The sum of square error SSE is
The calculation is below
Completion Percentage (X) | Interception Percentage (Y) | Predicted Y | Error-square |
57 | 4.9 | 47.4019-0.7667*57=3.7 | (4.9-3.7)^2=1.44 |
57 | 4.3 | 47.4019-0.7667*57=3.7 | (4.3-3.7)^2=0.36 |
57 | 2.9 | 47.4019-0.7667*57=3.7 | (2.9-3.7)^2=0.64 |
57 | 2.7 | 47.4019-0.7667*57=3.7 | (2.7-3.7)^2=1 |
60 | 1.4 | 47.4019-0.7667*60=1.3999 | (1.4-1.3999)^2=0 |
SSE | 3.4400 |
ans SSE = 3.44
Step 2 of 5
n=5 is the number of observations
The mean square error is
ans: The estimated variance of errors,
step 3 of 5
Mean of X is
The sum of square X is
The estimated variance of slope, is
ans: The estimated variance of slope, is
step 4 of 5
98% confidence interval indicates a significance level of
The critical value of t using degrees of freedom n-2=5-2=3, for
Using t tables we get
The 98% confidence interval for the slope is
ans: the 98% confidence interval for the slope is [-2.579, 1.045]
step 5 of 5
90% confidence interval indicates a significance level of
The critical value of t using degrees of freedom n-2=5-2=3, for
Using t tables we get
The 90% confidence interval for the slope is
ans: the 90% confidence interval for the slope is [-1.706, 0.172]