The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of sixteen Cadets, each bought "new" two years ago and each sold "used" within the past month. For each Cadet in the sample, we have listed both the mileage, x (in thousands

The following sample observations were randomly selected.
X: 5 3 6 3 4 4 6 8
Y: 13 15 7 12 13 11 9 5
Determine the coefficient of correlation and the coefficient of determination. Interpret the association between X and Y.

The following information regarding a dependent variable Y and an independent variable X is provided.
EX = 16 E (X - X)(Y - Y) = -8
EY = 28 E (X - X)2 = 8
n = 4 SST = 42
SSE = 34
The coefficient of determination is
A. 0.1905
B. -0.1905
C. 0.4364
D. -0.4364
The coefficient of correlatio

The following sample observations were randomly selected.
X:
4
5
3
6
10
Y:
4
6
5
7
7
Determine the coefficient of correlation and the coefficient of determination. Interpret.

Coastal State University is conducting a study regarding the possible relationship between the cumulative grade point average and the annual income of its recent graduates. A random sample of 151 Coastal State graduates from the last five years was selected, and it was found that the samplecorrelationcoefficient between cumul

In a regression model, if every sample point is on the
regression line (all errors are 0), then
a. the correlationcoefficient would be 0.
b. the correlationcoefficient would be -1 or 1.
c. the coefficient of determination would be -1.
d. the coefficient of determination would be 0.

If every sample data point were on the regression line, which of the following would be true? Please explain the correct answer.
a. MSE = 0
b. MAD = 1
c. Coefficient of determination = 0
d. Correlationcoefficient = 0.5

1. The following sample observations were randomly selected.
x 4 5 3 6 10
y 4 6 5 7 7
Determine the coefficient of correlation and the coefficient of determination. Interpret.
2. The following sample observations were randomly selected.
x 5 3 6 3 4 4 6 6
y 13 15 7 12 13 11

A personnel manager for a large corporation feels that there may be a relationship between absenteeism and age and would like to use the age of a worker to develop a model to predict the number of days absent during a calendar year. A random sample of 10 workers was selected with the results presented below:
Age Da