Question

1. Estimating the value of the subject response, y, for an value of x within the observed values of x in the data.

1. Interpolation
2. Marginal Change
3. Residual Error
4. Extrapolation

2. Which measure of correlation is the strongest association.

A) 0.92

B) 0.001

C) -0.014

D) -0.95

3. High (strong) correlation implies cause and effect.

1. True
2. False

4. Estimating the value of the subject response, y, for an value of x outside the observed values of x in the data.

1. Marginal Change
2. Interpolation
3. Correlation
4. Extrapolation

5. The sum of the squares of the vertical distances from the data points to the line is made as small as possible; that is, the line such that the sum of the residuals (errors) squared is minimized – least-squares error.

1. Total Error
2. Model Error
3. Least Squares Criteria
4. Correlation

Answer 1

The solution to this problem is given by