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[solution] » Giving the selling price of the dependent variable and house size, house age and are independent
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Giving the selling price of the dependent variable and house size, house age and are independent variables please fill in the table and answer the following questions (a-h). (a = 0.05)
| SUMMARY OUTPUT | ||||||||
| Regression Statistics | ||||||||
| Multiple R | 0.9571 | |||||||
| R Square | _____ | |||||||
| Adjusted R Square | 0.8932 | |||||||
| Standard Error | 6.8940 | |||||||
| Observations | _____ | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 3 | 5707.4385 | _____ | _____ | 3.27814E-06 | |||
| Residual | 11 | _____ | 47.5270 | |||||
| Total | _____ | 6230.2360 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | -16.0580 | 19.0710 | -0.8420 | 0.4177 | -58.0331 | 25.9171 | _____ | 25.9171 |
| House Size | 4.1462 | 0.7512 | 5.5195 | 0.0002 | 2.4928 | 5.7995 | 2.4928 | _____ |
| House Age | -0.2361 | 0.8812 | -0.2679 | 0.7937 | -2.1756 | 1.7035 | _____ | 1.7035 |
| Area | 4.8309 | 0.9011 | 5.3612 | 0.0002 | 2.8476 | 6.8141 | 2.8476 | _____ |
e) What is the variance of the slope coefficient of House size?
f) Conduct a global test of hypothesis to determine if any of the regression coefficients are not zero.
g) Conduct a test of hypothesis for each of the independent variables. Which one you would eliminate and why?
h) Interpret and show that you understand this computer printout. (Significant weight will be given to this question)
The regression equation is written using the coefficient values from the table as Number of observations is equal to the total number of records in the data
c) What percent of the variation is...
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