1. Draw a multistage cluster sampling of high schools in the United States. Have the first stage be the choosing of 5 U.S. states
randomly, have the second stage be 3 counties within the 5 states chosen, and have the third stage be 2high schools within the counties
chosen. Be sure to include your sampling frames and show your screen shots of the research randomizer. [15]
2. The regression model below examines factors that impact the DV home sale price among recently sold homes in a suburban community.
The IV is total rooms within the home, and the EVs include 1) total bedrooms, 2) total bathrooms, 3) whether the home has a basement or
not, and 4) the total number of days the home was on the market prior to its sale. Please answer the following regarding the regression
output below:
A) Identify the variables that are statistically significant predictors (at the .05 percent level) of a home’s sale price. [3]
B) Of the variables you identified in Part A, what statistics did you examine to determine each variable’s statistical
significance? Explain the thresholds used to determine statistical significance. [3]
C) Explain what the coefficient for the EV “Total Bathrooms” means. [3]
D) Explain what the coefficient for the EV “Days on Market” means. [3]
E) What does the model’s R-square of .33 mean? [3]