1. What is a covariate? 2. In just looking at the design, how does a design in w
ID: 3181945 • Letter: 1
Question
1. What is a covariate? 2. In just looking at the design, how does a design in which you would perform an analysis of covariance differ from a design in which you would perform an analysis of variance? 3. What type of relationship do we want between our covariate and our dependent variable? Why? 4. What would happen to the denominator of the F in such a circumstance? Why? 5. What type of relationship do we want between our covariate and our independent variable? Why? 1. What is a covariate? 2. In just looking at the design, how does a design in which you would perform an analysis of covariance differ from a design in which you would perform an analysis of variance? 3. What type of relationship do we want between our covariate and our dependent variable? Why? 4. What would happen to the denominator of the F in such a circumstance? Why? 5. What type of relationship do we want between our covariate and our independent variable? Why? 1. What is a covariate? 2. In just looking at the design, how does a design in which you would perform an analysis of covariance differ from a design in which you would perform an analysis of variance? 3. What type of relationship do we want between our covariate and our dependent variable? Why? 4. What would happen to the denominator of the F in such a circumstance? Why? 5. What type of relationship do we want between our covariate and our independent variable? Why?Explanation / Answer
QUEATION 1
In statistics, a covariate is a variable that is possibly predictive of the outcome under study. A covariate may be of direct interest or it may be a confounding or interacting variable.
The alternative terms explanatory variable, independent variable, or predictor, are used in a regression analysis. In econometrics, the term "control variable" is usually used instead of "covariate".
An example is provided by the analysis of trend in sea level by Woodworth (1987). Here the dependent variable (and variable of most interest) was the annual mean sea level at a given location for which a series of yearly values were available. The primary independent variable was time. Use was made of a covariate consisting of yearly values of annual mean atmospheric pressure at sea level. The results showed that inclusion of the covariate allowed improved estimates of the trend against time to be obtained, compared to analyses which omitted the covariate
Related Questions
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.