Regression Matrix I5:Identify a research problem different from the previous research problems that uses three sets of data that represent two independent X variables and a dependent Y variable that have absolute zero measurements (Ratio data). You may use recorded data or made up data. Example: X variable the hours spent studying, X variable years in school, Y variable test scores. X variable money spent improving a home, X variable number of bedrooms, Y variable the sales price. X variable stock volume, X variable EPS, Y variable stock closing price. Each X variable must be paired with the Y variable. The n sample size should be at least 10 in each set, but not more than 30. Prepare a paper describing the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric. Open Excel, log in your X1, X2 & Y data. Go to Add Ins, Megastat, Correlation/Regression, Correlation Matrix, put the cursor in the Input Ranges and left mouse click highlight all data including the titles. Then click OK. Do a scatter plot: Insert, Scatter, select a scatter plot. Interpret the r values for each X variables correlation to the Y variable and conclude. Paste the Megastat outputs to your paper. Use the G5 sample as a guide. This paper should be between 1000-1400 words. Post as an Individual Assignment. Title the document file “Regression Matrix I5”