Production manager of the aircraft repair facility is interested in finding effects of several variables on production. One set of data he gathered from arbitrarily sampled portion of his production force. Data comprises of production figures based on standard production of 100, number of toilet breaks and beverage consumption in 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
|
1) Are number of toilet breaks and amount of beverage consumed related? Describe how? Provide the value of statistic and probability value.
2) Are toilet breaks and production related? Describe how? Provide the value of statistic and probability value.
3) If you were to want to build the prediction equation based on above information would you require using both number of toilet breaks and amount of beverage consumption in equation? Explain why/why not?
4) Build the prediction equation for production by using SPSS and analyze data. Share your analyzed results, including R square value and probability.