In: Statistics and Probability
A company would like to estimate its total cost equation. It has collected 48 months of monthly production output and corresponding total production costs. The collected data is in the file Production Cost Data Only.xlsx. Recall that
TOTAL COST = Fixed Costs + Variable Cost per Unit *Output.
Use the data to estimate a function that describes total cost for this company. (Round answers to 2 decimal places)
Monthly Output (in thousands of units) | Monthly Total Production Cost (in thousand $) |
47 | 926 |
45 | 888 |
42 | 841 |
43 | 888 |
42 | 863 |
42 | 898 |
41 | 885 |
48 | 911 |
41 | 812 |
40 | 837 |
39 | 845 |
39 | 856 |
40 | 858 |
38 | 852 |
39 | 877 |
39 | 926 |
37 | 915 |
37 | 841 |
37 | 812 |
37 | 833 |
36 | 822 |
38 | 809 |
37 | 769 |
38 | 783 |
41 | 745 |
38 | 716 |
39 | 656 |
39 | 620 |
37 | 616 |
35 | 771 |
34 | 754 |
34 | 703 |
32 | 667 |
31 | 643 |
28 | 540 |
25 | 502 |
20 | 436 |
17 | 380 |
14 | 314 |
13 | 294 |
10 | 290 |
10 | 190 |
9 | 203 |
8 | 176 |
8 | 192 |
6 | 149 |
5 | 114 |
4 | 126 |
Sol:
in excel install analysis tool pak and then go to
data >data analysis>regression
you willl get
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.970684 | |||||||
R Square | 0.942227 | |||||||
Adjusted R Square | 0.940971 | |||||||
Standard Error | 64.2522 | |||||||
Observations | 48 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 3097160 | 3097160 | 750.2182 | 3.98E-30 | |||
Residual | 46 | 189903.9 | 4128.346 | |||||
Total | 47 | 3287064 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 38.24585 | 24.28492 | 1.574881 | 0.122137 | -10.6372 | 87.12887 | -10.6372 | 87.12887 |
nthly Output (in thousands of units) | 19.68526 | 0.718699 | 27.39011 | 3.98E-30 | 18.23859 | 21.13192 | 18.23859 | 21.13192 |
Monthly Total Production Cost=38.25+19.69*monthly Output
Solution2:
What is the estimated Fixed Cost for the Company
=y intercept=38.25
38.25
Solution3:
the estimated average unit variable cost for the Company=slope=
=19.69
Solution4:
a 95% confidence interval for the true average unit variable cost.
lies in between 18.23859 and 21.13192