Chapter 16
2.)
a.) Response time = 17.202 - (0.2141 x Number correct)
b.) Predicted response = 17.202 - (0.2141 x 8)
= 17.202 - 1.7128
= 15.4892
c.)
Correct
Actual response time
Predicted Response time
Difference
5
14.5
16.13
1.63
7
13.4
15.70
2.30
6
12.7
15.92
3.22
2
16.4
16.77
0.37
4
21
16.35
-4.65
3
13.9
16.56
2.66
12
17.3
14.63
-2.67
5
12.5
16.13
3.63
4
16.7
16.35
-0.35
3
22.7
16.56
-6.14
3.)
a.) If the coefficient of determination of the regression equation is high, then that model predicts
the best for the future. Also, adding a new predictor variable to the regression equation will
increase the coefficient of determination. If the coefficient of determination is lower, she can add
another predictor variable to the regression equation to increase the coefficient of determination
of the regression equation.
b.) Two other predictors are age and family history.
c.) Y = b1 + b1 x education + b2 x health + b3 x age + b4 x family history
7.)
a.) The p-value of the regressor is all greater than 0.05;
Therefore, no one repressor is significant for the model. Therefore, no variable best predicts the
Chef’s score.
b) GCT = 1.47 x 12 - 9.10 x 2 - 2.43 x 5
= -12.71
Chapter 17
#7
a.) The test statistic X2 =3.969 does not fall in the rejection region; therefore, we fail to reject the
null hypothesis.
b.) There is no sufficient evidence to conclude that age and strength are dependent.
Ho: Age and strength are independent
Ha: Age and strength are dependent
Sample size: 138
P-value: 9.49
Chi value: 3.969
Set alpha: 0.05