Why is the null hypothesis for regression usually B- 0?
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- Write the null hypothesis for testing the statistical significance of the interaction effect for the regression model Y= B, + B,X, +B,D, + B,X,D,.Show that an interaction term of a dummy variable and a regressor changes the slope of a regression line..Identify two different conditions under which the regression line should not be used to make predictions.
- With multiple regression, the null hypothesis for the entire model now uses the p test. True FalseSelect all statements that are true of the least-squares regression line. ) It assumes a linear relationship between the explanatory and the response variable. R-squared is the portion of sample variance in the explanatory variable that can be explained by variation in the response variable. ) It can be used to predict the mean response of the explanatory variable. | R-squared is the portion of sample variance in the y variable that can be explained by variation in the x variable.when a regression is used as a method of predicting dependent variables from one or more independent variables. How are the independent variables different from each other yet related to the dependent variable?