Question

For a simple linear regression model, significance of regression is: Group of answer choices the variability...

For a simple linear regression model, significance of regression is:

Group of answer choices

the variability of the observed Y-values from the predicted values.

a hypothesis test of whether the regression coefficient ß1 is zero.

a measure of how well the regression line fits the data.

a measure that determines if the linearity assumption is satisfied

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Answer #1

Sol:

We can infer whether the regression is significant or not by

Performing t test for significance in simple linear regression

F test for significance in simple linear regression.

Look for t value and p value

if p<0.05

slope is significant meaning

there is a relationship between 2 variables and its significant.

ANSWER:

a hypothesis test of whether the regression coefficient ß1 is zero.

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