In: Statistics and Probability
The director of cooperative education at a state college wants to examine the effect of cooperative education job experience on marketability in the work place. She takes a random sample of 4 students. For these 4, she finds out how many times each had a cooperative education job and how many job offers they received upon graduation. These data are presented in the table below.
Student | Coop Jobs | Job Offer |
1 | 1 | 4 |
2 | 2 | 6 |
3 | 1 | 3 |
4 | 0 | 1 |
A. The standard error of estimate is
B. The least squares estimate of the Y-intercept is
C. The director of cooperative education wanted to test the hypothesis that the population slope was equal to 0. The denominator of the test statistic is Sb1. The value of Sb1 in this sample is
D. The director of cooperative education wanted to test the hypothesis that the population slope was equal to 0. For a test with a level of significance of 0.05, the null hypothesis should be rejected if the value of the test statistic is
E. The coefficient of correlation is
F. The coefficient of determination is
G. The director of cooperative education wanted to test the hypothesis that the population slope was equal to 0. The value of the test statistic is
H. The director of cooperative education wanted to test the hypothesis that the population slope was equal to 0. The p-value of the test is
I. The prediction for the number of job offers for a person with 2 coop jobs is
J. Suppose the director of cooperative education wants to construct a 95% confidence-interval estimate for the mean number of job offers received by students who have had exactly one cooperative education job. The t critical value she would use is
K. Suppose the director of cooperative education wants to construct a 95% prediction interval estimate for the number of job offers received by students who have had exactly one cooperative education job. The prediction interval is from ________ to ________.