Question: The production manager of an aircraft repair facility is interested in determining the effects of several variables on production. One set of data he collected from a randomly sampled portion of his production force. The data consists of production figures based on a standard production of 100, number of toilet breaks and beverage consumption during work.

SUBJECT TBREAK BEVCONSMP PRODUCTION

1 2 3 98
2 3 5 96
3 1 3 98
4 2 4 97
5 3 5 95
6 4 6 94
7 1 1 101
8 3 6 94
9 1 2 97
10 2 3 97
11 2 3 97
12 3 5 96
13 1 3 98
14 2 4 97
15 2 4 96
16 3 5 98
17 3 5 96
18 4 6 94
19 1 1 100
20 1 1 101
21 4 6 93
22 3 5 96
23 2 4 97
24 2 3 97
25 3 5 96
26 2 3 97
27 1 1 100
28 2 4 96
29 1 1 101
30 4 5 93

a. Are number of toilet breaks and amount of beverage consumed related? How? Give the value of the statistic and the probability value.

b. Are toilet breaks and production related? How? Give the value of the statistic and the probability value.

c. If you were to wish to build a prediction equation based on the above information would you need to use both number of toilet breaks and amount of beverage consumption in the equation? Why/why not?

d. Build a prediction equation for production using SPSS and analyze the data. Share your analyzed results, including the R square value and probability.