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 2 high schools within the counties chosen. Be sure to include your sampling frames and show your screen shots of the research randomizer. 
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. 
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. 
C) Explain what the coefficient for the EV “Total Bathrooms” means. 
D) Explain what the coefficient for the EV “Days on Market” means. 
E) What does the model’s R-square of .33 mean?