a Can be inflated by adding more variables. D Can be inflated by removing variables. Referred to as the coefficient of determination or coefficient of multiple determination. is used to determine the fit of a model. O Represents the percent of variability in y that can be explained by the model. a In simple linear regression, it is equal to the correlation coefficient 2. O Only describes the relationship between quantitative variables. a is only used in multiple linear regression.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 1CYU
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Choose all that apply when describing R2. (Hint: 5 options are correct) (Select all that apply.)
Can be inflated by adding more variables.
O Can be inflated by removing variables.
Referred to as the coefficient of detemination or coefficient of multiple determination.
Is used to determine the fit of a model.
Represents the percent of variability in y that can be explained by the model.
In simple linear regression, it is equal to the correlation coefficient 2.
O Only describes the relationship between quantitative variables.
O Is only used in multiple linear regression.
SSres
SSreg
SStotal
SStotal
Transcribed Image Text:Choose all that apply when describing R2. (Hint: 5 options are correct) (Select all that apply.) Can be inflated by adding more variables. O Can be inflated by removing variables. Referred to as the coefficient of detemination or coefficient of multiple determination. Is used to determine the fit of a model. Represents the percent of variability in y that can be explained by the model. In simple linear regression, it is equal to the correlation coefficient 2. O Only describes the relationship between quantitative variables. O Is only used in multiple linear regression. SSres SSreg SStotal SStotal
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