Which is not true in ANCOVA?
i. The covariate is continuous
ii. The dependent variable is categorical
iii. The independent variable is categorical
iv. The response is continuous
ii. The dependent variable is categorical
Analysis of covariance is used to test the main and interaction effects of categorical variables on a continuous dependent variable, controlling for the effects of selected other continuous variables, which co-vary with the dependent. The control variables are called the "covariates."
Which is not true in ANCOVA? i. The covariate is continuous ii. The dependent variable is...
In ANCOVA, suppose Y is the dependent variable, X is the covariate, and the factor has two levels. Also all assumptions of ANCOVA are met. Which of the following situations is the most desirable? a. rXY = 0.5; x̅₁=10, x̅₂=12, x̅ =11. b. rXY = 0.1; x̅₁=10, x̅₂=12, x̅ =11. c. rXY = -0.1; x̅₁=10, x̅₂=20, x̅ =15. d. rXY = -0.5; x̅₁=10, x̅₂.=20, x̅ =15.
When the covariate correlates +.5 with the dependent variable, I assert that the adjusted MSwithin from the ANCOVA will be less than the MSwithin from the ANOVA. Am I correct?
In ANCOVA there should be one covariate fewer than the number of independent variables. True False
Wesley has generated an ANCOVA. In his model, there is one independent variable which has 3 categories (type of phone: Blackberry, iPhone, and Droid) and one covariate (amount of time spent on desktop or laptop computer). In testing the assumptions, he reviews a one-way ANOVA, the dependent variable being amount of time spent on desktop or laptop computer and the independent variable being type of phone. For which assumption is Wesley likely reviewing evidence? A. Homogeneity of regression slopes B....
One-way analysis of covariance (ANCOVA) is similar to ANOVA but additionally controls for a variable that may influence the DV. T F Factorial analysis of variance (factorial ANOVA) extends ANOVA to research scenarios with two or more IVs that are categorical. T F Factorial analysis of variance (factorial ANCOVA) examines group differences in a single quantitative dependent variable based upon two or more categorical independent variables, while controlling for a covariate that may influence the DV. T F One-way multivariate...
In a randomized experiment (true experiment), if the covariate contains considerable measurement error, the use of ANCOVA would likely result in a. too much adjustment of means. b. less of the covariate effect being removed from the dependent variable. c. an F test that is too liberal. d. biased estimates of the treatment effects.
What makes ANCOVA different from ANOVA? a. ANCOVA can include dummy variables. b. ANCOVA can include one or more continuous variables that predict the outcome. c. ANCOVA can include continuous variables that are not part of the main experimental manipulation but influence the dependent variable. d. ANCOVA can include continuous variables that are not part of the main experimental manipulation but influence the independent variable.
The equation of the regression line between two variables x (independent variable) and y (dependent variable) is given by y-hat = -3x + 2; and the correlation coefficient is r = -.95. The possible x-values range from 1 to 10. Which of the following statements are correct? I. The variable y is strongly positive correlated to the variable x. II. The variable y is strongly negative correlated to the variable x. III. If x = 5, one would predict that...
In which of the following situations is ANOVA more powerful than ANCOVA? Choose one answer only. a. The adjusted means are the same as unadjusted means. b. The unadjusted means all have the same value. c. The correlation between the covariate and the dependent variable is strong. d. The correlation between the covariate and the dependent variable is weak.
Question 5 (1 point) What makes ANCOVA different from ANOVA? ANCOVA can include dummy variables. O ANCOVA can include one or more continuous variables that predict the outcome. ANCOVA can include continuous variables that are not part of the main experimental manipulation but influence the dependent variable. O ANCOVA can include continuous variables that are not part of the main experimental manipulation but influence the independent variable.