# Question: The House Selling Prices FL data file on the text

The House Selling Prices FL data file on the text CD has several predictors of house selling prices. The table here shows the ANOVA table for a regression analysis of y = the selling price (in thousands of dollars) and x = the size of house (in thousands of square feet). The prediction equation is = 9.2 + 77x.

ANOVA table for selling price and size of house:

a. What was the sample size?

b. The sample mean house size was 1.53 thousand square feet. What was the sample mean selling price?

c. Estimate the standard deviation of the selling prices for homes that have x = 1.53. Interpret.

d. Report an approximate prediction interval within which you would expect about 95% of the selling prices to fall, for homes of size x = 1.53.

ANOVA table for selling price and size of house:

a. What was the sample size?

b. The sample mean house size was 1.53 thousand square feet. What was the sample mean selling price?

c. Estimate the standard deviation of the selling prices for homes that have x = 1.53. Interpret.

d. Report an approximate prediction interval within which you would expect about 95% of the selling prices to fall, for homes of size x = 1.53.

**View Solution:**## Answer to relevant Questions

For a random sample of children from a school district in South Carolina, a regression analysis is conducted of y = amount spent on clothes in the past year (dollars) and x = year in school. MINITAB reports the tabulated ...Refer to the previous two exercises. a. In the ANOVA table, show how the Total SS breaks into two parts, and explain what each part represents. b. From the ANOVA table, explain why the overall sample standard deviation of y ...The table shows the approximate U.S. population size (in millions) at 10-year intervals beginning in 1900. Let x denote the number of decades since 1900. That is, 1900 is x = 0, 1910 is x = 1, and so forth. The exponential ...Do very short parents tend to have children who are even shorter, or short but not as short as they are? Explain, identifying the response and explanatory variables and the role of regression toward the mean. You invest $1000 in an account having interest such that your principal doubles every 10 years. a. How much money would you have after 50 years? b. If you were still alive in 100 years, show that youâ€™d be a millionaire. c. ...Post your question