Clough Company is interested in establishing the relationship between utility costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R-Square Standard Error Observations Intercept Machine Hours Machine Hours 3,250 3,770 2,470 4,030 4,940 4,290 5,330 4,550 2,600 4,810 6,110 5,460 96.5% 93.2% 92.5% 1,710 21 12.00 4,472.26 5.329 Utility Costs S + 22,080 25,200 16,200 27,600 33,900 26,400 29,700 27,300 18,600 31,200 37,200 33,300 Coefficients Standard Errort Stat 2,019 39 2.21 P-value 0.051 0.455 11.70 3.69E-07 0 Lower Upper 95% 95% -27 23 8971.74 4.314 6.343 Required: 1. What is the equation for utility costs using the regression analysis? Does the variable "machine hours" have statistical significance? Explain. 2. What is the equation for utility costs using high-low method? If November data is missing, which month will be chosen as the high point in high-low method? 3. Prepare an estimate of utility costs for a quarter (3 months) when 12,000 machine hours are worked with high-low method.

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Clough Company is interested in establishing the
relationship between utility costs and machine hours. Data
have been collected and a regression analysis prepared
using Excel. The monthly data and the regression output
follow:
Month
January
February
March
April
May
June
July
August
September
October
November
December
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R-Square
Standard Error
Observations
Intercept
Machine Hours
Machine Hours
3,250
3,770
2,470
4,030
4,940
4,290
5,330
4,550
2,600
4,810
6,110
5,460
96.5%
93.2%
92.5%
1,710 21
12.00
4,472.26
5.329
Utility Costs
S
+
22,080
25,200
16,200
27,600
33,900
26,400
29,700
27,300
18,600
31,200
37,200
33,300
Coefficients Standard Errort Stat
2,019 39 2.21
P-value
0.051
0.455 11.70 3.69E-07
0
Lower
Upper
95%
95%
-27 23 8971.74
4.314
6.343
Required:
1. What is the equation for utility costs using the regression
analysis? Does the variable "machine hours" have statistical
significance? Explain.
2. What is the equation for utility costs using high-low
method? If November data is missing, which month will be
chosen as the high point in high-low method?
3. Prepare an estimate of utility costs for a quarter (3 months)
when 12,000 machine hours are worked with high-low
method.
Transcribed Image Text:Clough Company is interested in establishing the relationship between utility costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow: Month January February March April May June July August September October November December SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R-Square Standard Error Observations Intercept Machine Hours Machine Hours 3,250 3,770 2,470 4,030 4,940 4,290 5,330 4,550 2,600 4,810 6,110 5,460 96.5% 93.2% 92.5% 1,710 21 12.00 4,472.26 5.329 Utility Costs S + 22,080 25,200 16,200 27,600 33,900 26,400 29,700 27,300 18,600 31,200 37,200 33,300 Coefficients Standard Errort Stat 2,019 39 2.21 P-value 0.051 0.455 11.70 3.69E-07 0 Lower Upper 95% 95% -27 23 8971.74 4.314 6.343 Required: 1. What is the equation for utility costs using the regression analysis? Does the variable "machine hours" have statistical significance? Explain. 2. What is the equation for utility costs using high-low method? If November data is missing, which month will be chosen as the high point in high-low method? 3. Prepare an estimate of utility costs for a quarter (3 months) when 12,000 machine hours are worked with high-low method.
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