e) Defective: 600 Non-Defective: 9400

8.

For what values of the computed chi-square statistic would we conclude that the defective rates are not all equal among the brands, where the chi-square statistic is:

Conclude defective rates are not all equal at the =0.05 significance level if:

a) obs2 12.592 b) obs2 15.507 c) obs2 7.815 d) obs2 3.841 e) obs2 9.488

# The following 2 Problems are based on this information

A telemarketing firm’s human resource manager is interested in the relationship between the number of weeks worked before quitting for previous employees (Y) and the employees’ ages (X). He obtained a random sample of n=100 employees who had quit during the previous year, observing Y and X for each employee. He obtained the following information based on the simple linear regression model with independent and normally distributed errors:

9.

Give the estimate for the change in mean number of weeks worked before quitting corresponding to an increase of 1 year in age.

a) 1.23 b) 0.46 c) 0.81 d) 25.9 e) -5.89

10.

Give the estimated standard error of the estimate in the previous question

a) 0.0027 b) 4.4162 c) 0.1086 d) 0.4416 e) 0.4799