True/False: The predicted score is almost always different from the actually scores.
True/False: The dependent variable is always continuous.
Categorical vs. Continuous variable
How is the residual or error calculated (in predicted scores)?
Give an example of both direct and indirect effect on a regression line.
When is the relationship between 2 variables considered to be an indirect effect?
The sum of squares of the predicted scores is called...
If all of the observed scores equal the predicted scores, what is the value of the sum of squares residual?
How can you calculate the SSreg using SSy and SSres?
What is a useful index for the goodness of fit of the regression line?
What does a value of one indicate? What about zero?
Why is the goodness of fit ratio given the symbol r^2?
How is the goodness of fit ratio calculated?
True/False: The goodness of fit ratio always varies between -1 and 1.
When you represent 2 or more categorical variables as values of 1 and 0.
When you use dummy coding, what is always the value of the predicted scores?
When using dummy coding, how do you calculate the constant of the regression line?
When using dummy coding, how do you calculate the slope?