Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=2.29+0.1243(High School GPA).
College GPA | High School GPA |
---|---|
2.45 | 4.90 |
2.35 | 2.51 |
3.82 | 4.44 |
2.20 | 3.26 |
2.07 | 3.76 |
3.58 | 2.98 |
Step 1 of 4 : Compute the sum of squared errors (SSE) for the model. Round your answer to four decimal places.
Step 2 of 4: Compute the standard error (se) of the model. Round your answer to four decimal places.
Step 3 of 4: Compute the mean square error (s2e) for the model. Round your answer to four decimal places.
Step 4 of 4: Calculate the coefficient of determination, R^2. Round your answer to three decimal places.
step 1: sum of squared errors (SSE) =2.7852
Step 2 of 4: standard error (se) of the model =0.8344
Step 3 of 4: Compute the mean square error (s2e) for the model =0.6963
Step 4 of 4: Calculate the coefficient of determination, R^2 =0.0222
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