Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA = 3.38 + ( − 0.0272) (High School GPA). GPAs College GPA High School GPA 2.09 3.60 3.73 3.99 3.56 3.88 2.83 4.90 3.51 4.15 3.87 3.83 Copy Data Step 2 of 3: Compute the mean square error (s2) for the model. Round your answer to four decimal places.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
14th Edition
ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
Chapter4A: Problems In Applying The Linear Regression Model
Section: Chapter Questions
Problem 2E
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Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is
Estimated College GPA = 3.38 + ( − 0.0272) (High School GPA).
GPAs
College GPA High School GPA
2.09
3.60
3.73
3.99
3.56
3.88
2.83
4.90
3.51
4.15
3.87
3.83
Copy Data
Step 2 of 3: Compute the mean square error (s2) for the model. Round your answer to four decimal places.
Transcribed Image Text:Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is Estimated College GPA = 3.38 + ( − 0.0272) (High School GPA). GPAs College GPA High School GPA 2.09 3.60 3.73 3.99 3.56 3.88 2.83 4.90 3.51 4.15 3.87 3.83 Copy Data Step 2 of 3: Compute the mean square error (s2) for the model. Round your answer to four decimal places.
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