spent on studying and their age. The table below gives partial output from SPSS. Unstandardized Standardized Std error t sig. Coefficients Coefficients Constant 0.7 Number of -2.63 -0.57 classes missed Average weekly hours 0.88 0.82 spent studying Student age 0.86 0.01 For every hour spent studying per week during the semester, what will the GPA increase by?

Big Ideas Math A Bridge To Success Algebra 1: Student Edition 2015
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ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:HOUGHTON MIFFLIN HARCOURT
Chapter9: Solving Quadratic Functions
Section: Chapter Questions
Problem 4CA
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A linear regression model predicts a student's GPA from the number of classes missed, weekly hours
spent on studying and their age. The table below gives partial output from SPSS.
Standardized
Unstandardized
Coefficients
Std error
t
sig.
Coefficients
Constant
0.7
Number of
-2.63
-0.57
classes missed
Average
0.82
weekly hours 0.88
spent studying
Student age
0.86
0.01
For every hour spent studying per week during the semester, what will the GPA increase by?
Transcribed Image Text:A linear regression model predicts a student's GPA from the number of classes missed, weekly hours spent on studying and their age. The table below gives partial output from SPSS. Standardized Unstandardized Coefficients Std error t sig. Coefficients Constant 0.7 Number of -2.63 -0.57 classes missed Average 0.82 weekly hours 0.88 spent studying Student age 0.86 0.01 For every hour spent studying per week during the semester, what will the GPA increase by?
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