1) This is a small set of data provided to investigate the relationship between the age of a lab

computer and the number ofservice calls on it for the school year. Computer output for these

data follows. The following data was reported:

X Age of lab computer 1 1 2 2 2 3 3 3 3 4 5 5

Y Number of repair calls 1 0 2 0 3 1 3 2 5 3 5 4

The regression equation is

rep call = - 0.297 + 0.958 age

Predictor Coef SE Coef T P

Constant -0.2966 0.8553 -0.350.736

age 0.95760.2751 3.48 0.006

S = 1.21989 R-Sq = 54.8% R-Sq(adj) = 50.3%

Analysis of Variance

Source DF SS MS F P

Regression 1 18.035 18.035 12.12 0.006

Residual Error 10 14.881 1.488

Total 11 32.917

What is the coefficient of determination for this relationship?

Group of answer choices

A) 50.3%

B) 54.8%

C) 1.219

2) This is a small set of data provided to investigate the relationship between the age of a lab

computer and the number ofservice calls on it for the school year. Computer output for these

data follows. The following data was reported:

X Age of lab computer 1 1 2 2 2 3 3 3 3 4 5 5

Y Number of repair calls 1 0 2 0 3 1 3 2 5 3 5 4

The regression equation is

rep call = - 0.297 + 0.958 age

Predictor Coef SE Coef T P

Constant -0.2966 0.8553 -0.350.736

age 0.95760.2751 3.48 0.006

S = 1.21989 R-Sq = 54.8% R-Sq(adj) = 50.3%

Using the computer output above, test whether there is a statistically significant linear

relationship between X and Y. Use a level of significance of .05. Make a decision for the test

and state your decision rule.

Group of answer choices

A) Fail to reject the null hypothesis because .006 < .05

B) Fail to reject the null hypothesis because .006 > .011

C) Reject the null hypothesis because .006 < .05