Question: in need of help regarding A - I please, data is shown Price Rooms Neighborhood 309.6 7 0 307.4 8 0 340.3 9 0 346.5
in need of help regarding A - I please, data is shown
| Price | Rooms | Neighborhood |
| 309.6 | 7 | 0 |
| 307.4 | 8 | 0 |
| 340.3 | 9 | 0 |
| 346.5 | 12 | 0 |
| 298.2 | 6 | 0 |
| 337.8 | 9 | 0 |
| 324.1 | 10 | 0 |
| 313.2 | 8 | 0 |
| 327.8 | 9 | 0 |
| 325.3 | 8 | 0 |
| 308.5 | 6 | 1 |
| 381.3 | 13 | 1 |
| 337.4 | 10 | 1 |
| 346.2 | 10 | 1 |
| 342.4 | 9 | 1 |
| 323.7 | 8 | 1 |
| 329.6 | 8 | 1 |
| 343.6 | 9 | 1 |
| 360.7 | 11 | 1 |
| 348.3 | 9 | 1 |
Neighbor A real estate association in a suburban community would like to study the relationship between the size of a single-family house (as measured by the number of rooms) and the selling price of a house (in $ thousands). Two different neighborhoods are included in the study, one on the east side of the community (= 0) and the other on the west side (= 1). A random sample of 20 houses was selected, with the results stored in Neighbor. *For a through i, do not include an interaction term*. a. State the multiple regression equation that predicts the selling price, based on the number of rooms and the neighborhood. b. Interpret the regression coefficients in (a). c. Predict the mean selling price for a house with nine rooms that is located in an east-side neighborhood. d. Perform a residual analysis on the results and determine whether the regression assumptions are valid. e. Is there a significant relationship between selling price and the two independent variables (room and neighborhood) at the 0.05 level of significance? f. At the 0.05 level of significance, determine whether each independent variable makes a contribution to the model. Indicate the most appropriate regression for this set of data, that is, which variable(s) should be included in the model. g. Construct a 95% confidence interval estimate of the population slope for the relationship between selling price and number of rooms. 1 h. Construct a 95% confidence interval estimate of the population slope for the relationship between selling price and neighborhood. i. State and interpret the adjusted r-squared. j. Add an interaction term to the model and at the 0.05 level of significance, determine whether it makes a significant contribution to the model. k. On the basis of the results in (f) and (i), which model is most appropriate? Why? 1. What conclusions can the real estate associate reach about the effect of rooms and neighborhood on the selling price of homes? Which, if any, of the independent variables has a bigger effect
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