When there are two predictor variables, R2 is the simple sum
? 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.
Having Trouble Meeting Your Deadline?
Get your assignment on When there are two predictor variables, R2 is the simple sum completed on time. avoid delay and – ORDER NOW
? 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
