Question
The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks....
The table below gives the completion percentage and interception percentage for five randomly selected NFL quarterbacks. Based on this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for using the completion percentage to predict the interception percentage for an NFL quarterback. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.
| Completion Percentage | 55 | 56 | 57 | 62 | 65 |
|---|---|---|---|---|---|
| Interception Percentage | 5 | 4.5 | 4 | 3.5 | 1.5 |
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The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage...
The following table compares the completion percentage and
interception percentage of 5 NFL quarterbacks. Completion
Percentage 57 59 61 65 65 Interception Percentage 4.8 4.7 4.5 3.1
1.1 Table
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Round your answer to three decimal places.
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b0=26.5238
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The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage...
The following table compares the completion percentage and
interception percentage of 5 NFL quarterbacks. Completion
Percentage 57 59 61 65 65 Interception Percentage 4.8 4.7 4.5 3.1
1.1 Table
Step 1 of 5 : Calculate the sum of squared errors (SSE). Use the
values b0=26.5238 and b1=−0.3727 for the calculations. Round your
answer to three decimal places.
The following table compares the completion percentage and interception percentage of 5 NFL quarterbacks. Completion Percentage...
The following table compares the completion percentage and
interception percentage of 5 NFL quarterbacks. Completion
Percentage 57 59 61 65 65 Interception Percentage 4.8 4.7 4.5 3.1
1.1 Table
Step 3 of 5 : Calculate the estimated variance of slope, s2b1.
Round your answer to three decimal places.
b1=−0.3727
b0=26.5238
SSE=2.842
s2e=0.947
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