Question: SUMMARY OUTPUT Regression Statistics Multiple R 0.49291191 R Square 0.24296215 Adjusted R Square 0.22990977 Standard Error 0.09240714 Observations 60 ANOVA df SS MS F Significance
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.49291191 | |||||||
| R Square | 0.24296215 | |||||||
| Adjusted R Square | 0.22990977 | |||||||
| Standard Error | 0.09240714 | |||||||
| Observations | 60 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 1 | 0.15894984 | 0.15894984 | 18.614399 | 6.30589E-05 | |||
| Residual | 58 | 0.495266633 | 0.00853908 | |||||
| Total | 59 | 0.654216473 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 0.02220064 | 0.011946921 | 1.8582725 | 0.06820767 | -0.001713726 | 0.046115 | -0.0017137 | 0.046115 |
| X Variable 1 | 1.04837332 | 0.242991705 | 4.31444075 | 6.3059E-05 | 0.561972571 | 1.53477406 | 0.56197257 | 1.53477406 |
)Write the security characteristic line equation (SCL) using the regression output.
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