Question:

In PS3, you had a quantitative dependent variable (rental price) of a property. You had 3 quantitative independent variables (number of beds, age, and number of blocks away from the ocean) and a qualitative independent variable (rental month: June, July, August). Now, you will collect data of sample size 15 from realtor-related websites such as Zillow.com where the dependent variable will be the price of a house and the independent variables will be number of bed rooms, number of bathrooms, and high school assigned. For that data set, please fit a multiple regression model using JMP or Excel. Post the output for the parameter estimates table of regression model, and the interpretation of slopes ( b 1 , b 2 , b 3 , b4), in usual discussion question. In addition, please submit your data (Excel file) in the assignment folder in d2l. Assume that the regression assumptions are satisfied for now. Hint: For simplicity, I would search "Cumming, Georgia" in the search box on Zillow.com. There are several high schools in Cumming, so I would limit my data to only three high schools (South Forsyth, North Forsyth, and Denmark High School, for example), collect the data, and then conduct the analysis.

bound using Chebyshev Inequality. (b) From part (a), we see that the lower bound provided by Chebyshev Inequality is not very accurate. However, the inequality is very useful when applied to the sample mean from a large random sample. Let X = (X1 + ... + X400)/400 be the sample mean for a random sample from a normal population with mean 100 and standard deviation 15. Find the value of P( X - 100)