Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is GPA). Estimated College GPA = 2.56 + 0.1582 High School GPA GPAs College GPA High School GPA 3.96 4.42 2.81 3.91 3.53 4.21 3.27 2.76 3.58 4.95 2.07 4.24 Copy Data Step 2 of 3: Compute the mean square error (s2) for the model. Round your answer to four decimal places.
Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is GPA). Estimated College GPA = 2.56 + 0.1582 High School GPA GPAs College GPA High School GPA 3.96 4.42 2.81 3.91 3.53 4.21 3.27 2.76 3.58 4.95 2.07 4.24 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
Related questions
Question
![Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is
GPA).
Estimated College GPA = 2.56 + 0.1582 High School GPA
GPAs
College GPA High School GPA
3.96
4.42
2.81
3.91
3.53
4.21
3.27
2.76
3.58
4.95
2.07
4.24
Copy Data
Step 2 of 3: Compute the mean square error (s2) for the model. Round your answer to four decimal places.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fc1dbc87c-2169-4896-a66f-9c36d81636e1%2Fe57bd923-ee56-47c2-aaa4-6ac737142abb%2F4mokzvj_processed.png&w=3840&q=75)
Transcribed Image Text:Consider the following data regarding students' college GPAs and high school GPAs. The estimated regression equation is
GPA).
Estimated College GPA = 2.56 + 0.1582 High School GPA
GPAs
College GPA High School GPA
3.96
4.42
2.81
3.91
3.53
4.21
3.27
2.76
3.58
4.95
2.07
4.24
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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