a. Use the above results and write the regression equation.
b. Compute the coefficient of determination and fully interpret its meaning.
c. At a = 0.05, test to see if there is a relation between X1 and Y.
d. At a = 0.05, test to see if there is a relation between X3 and Y.
e. Is the regression model significant? Perform an F test and let a = 0.05.

The test scores of 6 randomly picked students and the numbers of hours they prepared are as follows:
Hours: 5 10 4 6 10 9
Score: 64 86 69 86 59 87
The equation of the regression line is y(^on top)=1.06604x+67.3491. Find the coefficient of determination.

Assume that another counselor decided to extend the aforementioned study by collecting data on 14 children. His study yielded the following results:
Racial Attitude and Preference Test Scores (X)
2 4 2 5 7 8 12 14 14 16 18 18 20 20
Racial Socialization Test Scores (Y)
4 6 8 10 14 12 14 11 16 10 12 6 6 4
Calculate and in

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

The following results were obtained from a simple linear regression analysis. Total sum of square = 5.7640. Explained sum of squares = 5.5415. Unexplained sum of squares = 0.2225. The coefficient of determination is ____

In a regression analysis, the sum of the squared deviations between y and y-bar is SST = 200.0. If the sum of the squared deviations about the regression line is SSE + 40.0, what is the coefficient of determination?

Given the following ANOVA table:
SOURCE DF SS MS F
Regression 1 1000.0 1000.00 26.00
Error 13 500.0 38.46
Total 14 1500.0
A. Determine the coefficient of determination.
B. Assuming a direct relationship between the variables, what is the

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. Correlation coefficient = 0.5

The coefficient of correlation was computed to be -0.60. This means
a. the coefficient of determination is .
b. as X increase Y decreases.
c. X and Y are both 0.
d. as X decreases Y decreases.
Which of the following is a stronger

The following regression equation was computed from a sample of 20 observations:
Y' = 15 - 5X
SSE was found to be 100 and SS total 400.
a) Determine the standard error of estimate.
b) Determine the coefficient of determination.
c) Determine the coefficient of correlation.