In: Operations Management
Y^ = b0 + b1X1
The following table shows the calculations for regression line:
The following table shows the calculations for regression line:
Customers (in 1000s), X |
Line Maintenance Expense (in $1000s), Y |
X^2 |
Y^2 |
XY |
|
25.3 |
484.6 |
640.09 |
234837.16 |
12260.38 |
|
36.4 |
672.3 |
1324.96 |
451987.29 |
24471.72 |
|
37.9 |
839.4 |
1436.41 |
704592.36 |
31813.26 |
|
45.9 |
694.9 |
2106.81 |
482886.01 |
31895.91 |
|
53.4 |
836.4 |
2851.56 |
699564.96 |
44663.76 |
|
66.8 |
681.9 |
4462.24 |
464987.61 |
45550.92 |
|
78.4 |
1037 |
6146.56 |
1075369 |
81300.8 |
|
82.6 |
1095.6 |
6822.76 |
1200339.36 |
90496.56 |
|
93.8 |
1563.1 |
8798.44 |
2443281.61 |
146618.78 |
|
97.5 |
1377.9 |
9506.25 |
1898608.41 |
134345.25 |
|
105.7 |
1711.7 |
11172.49 |
2929916.89 |
180926.69 |
|
124.3 |
2138.6 |
15450.49 |
4573609.96 |
265827.98 |
|
Total |
848 |
13133.4 |
70719.06 |
17159980.62 |
1090172.01 |
Sample size: n = 12
Question. According to equation Y^ = b0 + b1X1 what level of line maintenance expense would be expected for a phone company with 75,000 customers show how you arrive at this value.