# Question

A realtor in a suburban area attempted to predict house prices solely on the basis of size. From a listing service, the realtor obtained size in thousands of square feet and asking price in thousands of dollars.

a. Obtain a plot of price against size. Does it appear there is an increasing relation?

b. Locate an apparent outlier in the data. Is it a high leverage point?

c. Obtain a regression equation, and include the outlier in the data.

d. Delete the outlier, and obtain a new regression equation. How much does the slope change without the outlier? Why?

e. Locate the residual standard deviations for the outlier- included and outlier- excluded models. Do they differ much? Why?

a. Obtain a plot of price against size. Does it appear there is an increasing relation?

b. Locate an apparent outlier in the data. Is it a high leverage point?

c. Obtain a regression equation, and include the outlier in the data.

d. Delete the outlier, and obtain a new regression equation. How much does the slope change without the outlier? Why?

e. Locate the residual standard deviations for the outlier- included and outlier- excluded models. Do they differ much? Why?

## Answer to relevant Questions

Obtain the outlier- excluded regression model for the data of Exercise 11.83. a. Interpret the intercept (constant) term. How much meaning does this number have in this context? b. What would it mean in this context if the ...Refer to Exercise 11.86. Calculate a new variable: x = 1/ density. a. What is the interpretation of the new variable? In particular, if the new variable equals 0.50, what does that mean about the particular zip code area? b. ...Refer to the data of Exercise 12.9. Often a logarithmic transformation can be used on the dose levels to linearize the response with respect to the independent variable. a. Obtain the natural logarithms of the five dose ...Refer to Exercise 12.13. Fit a cubic model to the data, and then answer the following questions. a. Can the hypothesis of no overall predictive value be rejected at the a 5 0.01 level? Justify your answer. b. Test the ...Refer to Exercise 12.25. a. Compare the R2 values for the four models. Which model appears to provide the best fit? b. Test at the .05 level whether the cross- product terms in Model 4 provide a significant relationship with ...Post your question

0