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A study was designed to examine the relationship between the TIME (in days) to complete a construction project and SUBCONTRACT, the number of sub-contractors involved.
A study was designed to examine the relationship between the TIME (in days) to complete a construction project and SUBCONTRACT, the number of sub-contractors involved. The regression results are given below.
What is R-square for this model?
Summary of Fit
RSquare | 0.713 | |
RSquare Adj | 0.691 | |
Root Mean Square Error | 14.232 | |
Mean of Response | 38.333 | |
Observations (or Sum Wgts) | 15.000 |
Analysis of Variance
Source | DF | Sum of Squares | Mean Square | F Ratio | |
Model | 1 | 6540.018 | 6540.018 | 32.286 | |
Error | 13 | 2633.316 | 202.563 | Prob > F | |
C. Total | 14 | 9173.333 | <.0001* | ||
Lack Of Fit
Source | DF | Sum of Squares | Mean Square | F Ratio | ||
Lack Of Fit | 8 | 2251.3157 | 281.414 | 3.6834 | ||
Pure Error | 5 | 382.0000 | 76.400 | Prob > F | ||
Total Error | 13 | 2633.3157 | 0.0836 | |||
Parameter Estimates
Term | Estimate | Std Error | t Ratio | Prob>|t| | |
Intercept | -12.321 | 9.642 | -1.28 | 0.2237 | |
Subcontract | 6.439 | 1.133 | 5.68 | <.0001* |
A..844 |
B.32.286 |
C.15 |
D..713 |
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