Which of the following best explains why multivariate regression analysis is used?

when not trying to generalize findings to a population

makes few assumptions about the data

controls for confounding factors

establishes temporal order

The R-squared value tells us the amount of variance explained in the dependent variable by the predictors in our model.

True

False

Which of the following best explains why standardized regression coefficients are reported?

They are easier to interpret than unstandardized regression coefficients.

They tend to suggest that the effect is stronger

They allow us to compare the magnitude of effect of one predictor to other predictors

They are fun to compute.

In multiple regression, __________ tells us the effect of an individual variable/predictor on the outcome.

R-squared

Error term

Beta

F-statistic