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
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.
For a simple linear regression model, significance of regression is: Group of answer choices the variability...
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For a simple linear regression results shown below, the P-value for the slope coefficient is as follows: A) a hypothesis test of whether the regression coefficient ß1 is zero. B) a measure that determines if the linearity assumption is satisfied C) a hypothesis test of whether the regression coefficient for Advertising is equal to 6.738. D) the variability of the observed Y-values from the predicted values.
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