El Paso Products Company has accumulated the following data over a six-month period:
Machine Hours | Machine-Related Costs | |
January | 700 | $ 10,000 |
February | 900 | $ 12,000 |
March | 1100 | $ 15,000 |
April | 1300 | $ 17,000 |
May | 1500 | $ 22,500 |
June | 1700 | $ 22,000 |
7200 | $ 98,500 |
Use excel least-squares regression method. Give the formula and r factor
Coefficient of Correlation is the R value | 0.97562267 | |||||||
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.97562267 | |||||||
R Square | 0.95183959 | |||||||
Adjusted R Square | 0.93979948 | |||||||
Standard Error | 1256.8858 | |||||||
Observations | 6 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 1 | 124889286 | 124889286 | 79.0557649 | 0.00088414 | |||
Residual | 4 | 6319047.62 | 1579761.9 | |||||
Total | 5 | 131208333 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 388.095238 | 1874.32376 | 0.2070588 | 0.84607754 | -4815.8618 | 5592.05228 | -4815.8618 | 5592.05228 |
X Variable 1 | 13.3571429 | 1.50226586 | 8.89133088 | 0.00088414 | 9.18618416 | 17.5281016 | 9.18618416 | 17.5281016 |
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