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Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel.
Thane Company is interested in establishing the relationship between electricity costs and machine hours. Data have been collected and a regression analysis prepared using Excel. The monthly data and the regression output follow:
Month | Machine Hours | Electricity Costs | ||
January | 2,600 | $ | 19,250 | |
February | 3,000 | $ | 22,700 | |
March | 2,000 | $ | 14,350 | |
April | 3,200 | $ | 24,700 | |
May | 3,900 | $ | 29,100 | |
June | 3,400 | $ | 23,700 | |
July | 4,200 | $ | 25,600 | |
August | 3,600 | $ | 23,600 | |
September | 2,100 | $ | 17,200 | |
October | 3,800 | $ | 27,700 | |
November | 4,800 | $ | 32,700 | |
December | 4,300 | $ | 28,600 | |
Summary Output | |
Regression Statistics | |
Multiple R | 0.955 |
R Square | 0.912 |
Adjusted R2 | 0.904 |
Standard Error | 1,630.46 |
Observations | 12.00 |
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | |
Intercept | 4,476.65 | 1,979.98 | 2.26 | 0.05 | 64.99 | 8,888.32 |
Machine Hours | 5.76 | 0.56 | 10.20 | 0.00 | 4.50 | 7.01 |
The correlation coefficient for the regression equation for electricity costs is:
Multiple Choice
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0.955.
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0.912.
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0.904.
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0.962.
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