25.A school psychologist interested inthe relationship between class attendance and satisfaction with the classfound the following scores on these variables.

StudentClass Attendance(X)Class Satisfaction(Y)

1 1 6

2 8 12

3 9 14

4 11 15

5 6 8

a. Make a scatter diagram of the data.

b. Use the four steps of Hypothesis Testing. All computations/formula can be done in Step II or Step III.

c.Compute the Correlation Coefficient.

d. Is the correlationcoefficient significant (use p < .05, two-tailed)? If the correlation is statistically significant, state howthetwo variables are related---positively or negatively. See my example.

e. Determine the linear prediction rule (the formula for the line used to predict Y (Class Satisfaction) values when given X(Class Attendance)values). Write both the general formula for the line and the regression line computed for this particular problem.

f. Based on the regression line, what are the predicted values of Y when X =11, when X = 9; and when X =7?

Be sure to state the line formulafivetimes: a general one, one specific to the problem that includes the computed values of a and b, one that is used to predict Y when X is 11, one used to predict Y when X is 9, and one used to predict Y when X is 7.

26. Was your r (correlation) test significant? Why or why not?