Question

In: Math

A company would like to estimate its total cost equation. It has collected 48 months of...

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)

Develop a scatterplot of the two variables: monthly output and monthly total costs. Describe the relationship.

Estimate a total cost curve for this company.  State the estimated total cost function.

Based on your estimated total cost curve what is the estimated Fixed Cost for the Company?

Based on your estimated total cost curve what is the estimated average unit variable cost for the Company?

Develop a 95% confidence interval for the true average variable cost per unit.

What percent of the variation in monthly production costs is “explained” by the monthly production output?

Suppose the plant manager is interested in mean costs for several monthswhere output averages 30,000 units (i.e., Xp = 30). What is the predicted monthly total costs when output averages 30?  Construct a 95% confidence interval for the mean production costs for months that average 30,000 units of output.

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

Solutions

Expert Solution

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.970683724
R Square 0.942226892
Adjusted R Square 0.940970955
Standard Error 64.25220388
Observations 48
ANOVA
df SS MS F Significance F
Regression 1 3097160.098 3097160.098 750.2182035 3.98347E-30
Residual 46 189903.9024 4128.345704
Total 47 3287064
Coefficients Standard Error t Stat P-value Lower 95% Upper 95%
Intercept 38.24585352 24.28492378 1.574880526 0.122137456 -10.63716267 87.12886971
Monthly Output 19.68525619 0.718699384 27.39011142 3.98347E-30 18.23858937 21.13192302

Develop a scatterplot of the two variables: monthly output and monthly total costs. Describe the relationship.

Estimate a total cost curve for this company. State the estimated total cost function.

Total cost = 38.2459 + 19.6853 * monthly output

Based on your estimated total cost curve what is the estimated Fixed Cost for the Company?

Fixed cost = intercept = 38.2459

Based on your estimated total cost curve what is the estimated average unit variable cost for the Company?

= average unit variable cost = slope = 19.6853

Develop a 95% confidence interval for the true average variable cost per unit.

95% confidence interval for slope =(18.2386,21.1319)

What percent of the variation in monthly production costs is “explained” by the monthly production output?

R^2   = 0.942226892


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