? Question 1 10 out of 10 points
When there are two predictor variables, R2 is the simple sum of r2 for the relationship of the first predictor variable and Y and r2 for the relationship of the second predictor variable and Y.
? Question 2 10 out of 10 points
If the relationship between two variables is perfect the standard error of estimate equals 0.
? Question 3 10 out of 10 points
For regression purposes, it is customary to assign Y to the variable we are predicting from.
? Question 4 10 out of 10 points
In general one is less confident in predictions of Y when the value of X used for the prediction is outside the range of the original data used to construct the regression line.
? Question 5 0 out of 10 points
For regression purposes, it is customary to assign X to the variable we are predicting from.
? Question 6 10 out of 10 points
When the relationship is perfect, the regression of Y on X is the same as the regression of X on Y.
? Question 7 10 out of 10 points
If we minimize ? (Y?Y’)2, we will minimize the total error of prediction.
? Question 8 0 out of 10 points
The least squares regression line insures the maximum number of direct hits.
? Question 9 10 out of 10 points
The higher the r value, the lower the standard error of estimate.
? Question 10 10 out of 10 points
Using a second predictor variable always increases the accuracy of prediction
