In: Finance
Based on the below data what will be the value of standard error?
| Regression Statistics | ||||
| Multiple R | ||||
| R Square | ||||
| Adjusted R Square | ||||
| Standard Error | ||||
| Observations | 8 | |||
| ANOVA | ||||
| df | SS | MS | F | |
| Regression | 1 | 33 | 33.0 | 16.5 |
| Residual | 6 | 12 | 2.0 | |
| Total | 7 | |||
| Coefficients | Standard Error | t Stat | P-value | |
| Intercept | 9 | 31.274666 | 3.984284 | 0.007248 |
| Advertising (thousands of $) | 24 | 6.19330674 | 1.610802 | 0.158349 |
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Answer format: Number: Round to: 2 decimal places.
standard error = SQRT(sums of square of residuals/ no of degrees of freedom)
standard error = SQRT(SS of residual /df) = SQRT (12/6) = SQRT (2) = 1.4142 = 1.41
Answer : 1.41 [Thumbs up please]