Linear Regression and Multiple Regression

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16 Terms

1
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what is the equation for R2

SSR / SST

2
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What does RSE stand for?

residual standard error

3
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What is RSE used for?

expected variability of response variable about the regression line

4
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How do you obtain coefficient estimates?

Minimizing Error Sum of Squares (SSE)

5
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Sum of Squares Decomposition equation

SST = SSE + SSR

6
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What do coefficient estimates describe?

marginal change of the dependent variable due to marginal change in the given regressor

7
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what are t values used for?

determining if independent variable has a significant relationship with the dependent variable

8
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what is the formula for the t-value?

estimated coefficient / standard error of the coefficient

9
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t-values are associated with what?

p-value

10
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if the p-value is small, the t-value is ___

significant

11
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In R output, what feature measures how accurate the estimated coefficient is?

standard error

12
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<p>what is this formula for?</p>

what is this formula for?

adjusted R2

13
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in multiple regression, what is the F test used for?

Determining if significant relationship exists between dependent variable and at least one of the independent variables

14
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what does R2 describe?

the quality of the fit of the model

15
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High R2 means?

Good fit

16
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What is the difference between adjusted R2 and R2?

Adjusted R2 accounts for the number of predictors in the model