(d) Simple linear regression analysis differs from multiple regression analysis
ID: 3181968 • Letter: #
Question
(d) Simple linear regression analysis differs from multiple regression analysis in that: A. Simple linear regression uses only one explanatory variable. B. The coefficient of correlation is meaningless in simple linear regression. C. Goodness-of-fit measures cannot be calculated with simple linear regression. D. The coefficient of determination is always higher in simple linear regression. (e) In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the standard error of the estimate? A. -1 B. 0 C. +1 D. Infinity (f) The standard error of the estimate measures: A. the variability of the explanatory variables. B. the variability of the values of the sample regression coefficients. C. the variability of the observed y-values around the predicted y-values. D. the variability of the predicted y-values around the mean of the observed y-values
Explanation / Answer
(d) Simple linear regression analysis differs from multiple regression analysis in that: Simple linear regression uses only one explanatory variable.
e) In a simple linear regression model, if the plots on a scatter diagram lie on a straight line, what is the standard error of the estimate? 0
(f) The standard error of the estimate measures: the variability of the predicted y-values around the mean of the observed y-values
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