Tag | Value |
---|---|
file | Inferential_Statistics_uu-Multiple-linear-regression-818-en_uu-Multiple-linear-regression-818-en |
name | uu-Multiple-linear-regression-818-en.Rmd |
section | Inferential Statistics/Regression/Multiple linear regression |
type | schoice |
solution | FALSE, FALSE, FALSE, TRUE |
Type | Conceptual |
Language | English |
Level | Statistical Literacy |
A regression model is used to predict income among Dutch adults from the following predictors: I. Level of Education (3 categories): (a) high school only, (b) university degree, and (c) PhD degree II. Age (in years) III. Sex
How many predictors do you need in your multiple regression model to predict income without any interactions (do not count the intercept in your answer)?