According to the multiple regression equation, the best prediction of the outcome variable () is equal to
a. the intercept plus the sum of all the predictor variables (X's), each multiplied by their regression coefficients.
b. the sum of all the predictor variables (X's), each multiplied by their regression coefficients.
c. the intercept minus the sum of all the predictor variables (X' s), each multiplied by their regression coefficients.
d. the intercept minus the sum of all the predictor variables (X's), each divided by their regression coefficients.
Question 2
Which of the following is NOT a use of multiple regression analysis?
a. Reducing error by controlling for scores on baseline measures
b. Creating path-analytic diagrams
c. Conducting a covariance structure analysis
d. Predicting scores on a dependent variable given scores on a set of independent variables
