The production manager of aircraft repair facility is interested in determining the effects of several variables on production. One set of data he gathered from randomly sampled portion of his production force. The data consists of production figures based on the 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
|
- Are number of toilet breaks and amount of beverage consumed related? How? Provide the value of statistic and the probability value.
- Are toilet breaks and production related? How? Provide the value of statistic and probability value.
- If you were to wish to build the prediction equation based on above information would you need to employ both number of toilet breaks and amount of beverage consumption in equation? Why/why not?
- Build a prediction equation for production by using SPSS and examine the data. Share your analyzed results, including R square value and probability