Question: Looking at the R 2 value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your
Looking at the R2value, explain what this indicates about the strength of the relation. Then write out your Regression Equation, state if your p-value and conclusion.
| Regression Statistics | |
| Multiple R | 0.6987808 |
| R Square | 0.488294607 |
| Adjusted R Square | 0.424331432 |
| Standard Error | 62687.51414 |
| Observations | 10 |
| ANOVA | |||||
| df | SS | MS | F | Significance F | |
| Regression | 1 | 29999500002 | 29999500002 | 7.633995854 | 0.024561903 |
| Residual | 8 | 31437795436 | 3929724430 | ||
| Total | 9 | 61437295438 |
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 101218625.3 | 36572681.4 | 2.767601976 | 0.024386803 | 16881870.78 | 185555380 | 16881870.8 | 185555380 |
| X Variable 1 | -49999.5833 | 18096.32658 | -2.76296867 | 0.024561903 | -91729.7873 | -8269.3794 | -91729.787 | -8269.3794 |
Observation | Predicted Y | Residuals | Standard Residuals |
1 | 119467.8167 | -35137.8167 | -0.59452481 |
2 | 169467.4 | -79238.4 | -1.34069784 |
3 | 169467.4 | -59472.4 | -1.00626109 |
4 | 119467.8167 | -8592.81667 | -0.14538874 |
5 | 119467.8167 | 9482.183333 | 0.160436641 |
6 | 119467.8167 | 11352.18333 | 0.192076666 |
7 | 169467.4 | 37527.6 | 0.634959469 |
8 | 269466.5667 | -16976.5667 | -0.2872401 |
9 | 269466.5667 | 5528.433333 | 0.093539984 |
10 | 169467.4 | 135527.6 | 2.293099822 |
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