Which of the following statements is true, according to the output
in this table?
SUMMARY OUTPUT
Regression Statistics
Multiple R 0.806930868
R Square 0.651137425
Adjusted R Square 0.619422646
Standard Error 1191.071306
Observations 13
ANOVA
df SS MS
Regression 1 29126378.28 29126378.28
Residual 11 15605159.41 1418650.855
Total 12 44731537.69
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Y-Intercept 8773.716028 1097.888134 7.991448089 6.59898E-06 6357.280539 11190.15152 6357.280539 11190.15152
Machine Hours 14.9838901 3.306885046 4.531119131 0.000856257 7.705485184 22.26229501 7.705485184 22.26229501
The Y-intercept, in cell B17 represents total costs (Y) of $8,773.72.
The dependent variable, X, in cell B18 is measured in machine hours,
since it causes the costs in this this (X,Y) relationship.
The slope coefficient, m, represents variable costs per unit of $14.98.
This output is generated by the general learning curve formula Y = aXb