1. In multivariate regression:
a) More than one independent variable is used to predict a single dependent variable
b) The value of r gives you the slope
c) More than one dependent variable is predicted by a single independent variable
d) More regressions are necessary
In multiple regression model more than one independent variabke is used to predict a single dependent variable option a
1. In multivariate regression: a) More than one independent variable is used to predict a single...
Regression analysis is used to: A. Predict the value of the dependent variable vased on the value of at least one independent variable B. Explain changes in an independent variable on the dependent variable C. It offers proof of causation D. A & B only E. A, B, & C
11. Multiple regression analysis is used when one independent variable is used to predict values of two or more dependent variables. True or False 13. For a two-tailed null hypothesis, the test statistic Z=1.96. Therefore, the p-value is 0.05. True False
Regression and Multicollinearity When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity among the independent variables is often a concern. What is the main problem caused by high multicollinearity among the independent variables in a multiple regression equation? Can you still achieve a high r for your regression equation if multicollinearity is present in your data? Regression and Multicollinearity When multiple independent variables are used to predict a dependent variable in multiple regression, multicollinearity...
In a regression analysis, the variable that is used to predict the dependent variable a. is the independent variable b. must have the same units as the variable doing the predicting c. is the dependent variable d. usually is denoted by x
A multiple regression model has _____. a. at least two dependent variables b. more than one dependent variable c. more than one independent variable d. only one independent variable
Use linear regression to predict the value at X=10. Independent Variable Dependent Variable о о л о Ол Select one: a. 23.64 b. 2164 C. 4.23 d. 0,45
What is a multiple regression equation? (Select all that apply) a. One that represents the mathematical effect that several independent variables have on the dependent variable b. One in which the x-values are multiplied by one another c. One that explains more of the variance in y than does a single linear regression equation d. An experimental model for determining best practices e. One that uses more than one predictor variable to predict the value of the outcome variable f....
8. In linear regression, the confidence interval can be wider than the prediction interval. a. True b. False 9. In a regression and correlation analysis if R-1, then a. SSg - SSI b. SSg - 1 c. SSR ESSE d. SSR SS 10. A multiple regression model has: a. only one independent variable b. more than one dependent variable c. more than one independent variable d. none of the above
When two or more independent variables in the same regression model can predict each other better than the dependent variable, the condition is referred to as ____. Autocorrelation Multicollinearity Heteroscedasticity Homoscedasticity