QMB 3200 FINAL EXAM 10 Word Questions.I have 11 questions below. I Need help ASAP! My exam starts @7pm ( time of this posting) I have to summit by 8PM. Please. Help! A marketing research firm whishes to compare the prices charged by 2 supermarket chains – Publi’s and Wally’s . The research firm using a standardized one-week shopping plan (grocery lists makes identical purchases at 100 of each chain’s stores. The stores for each chain are randomly selected and all purchases are made durin a single week. It is reasonable to assume that the samples are independent. What is the degrees of freedom for the t distribution.Round down your final answer to the closest integer 2 Develop a 3-week moving average for the following time series Find the value for MSE. Round your calculations to 2 decimal places. 3 Forecast week 8 (Using the 3 week moving average). Use 1 decimal 4 A marketing research firm whishes to compare the prices charged by 2 supermarket chains – Publi’s and Wally’s . The research firm using a standardized one-week shopping plan (grocery lists makes identical purchases at 100 of each chain’s stores. The stores for each chain are randomly selected and all purchases are made durin a single week. It is reasonable to assume that the samples are independent. What is the value of the test statistic (to 4 decimals) 5 An economic instructor at UCF is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 18 students who took the course last semester follow # of observation(s) n = 18 # of independent variable(s) = 2 SSR = 3410 SSE = 304 Find the value for the adjusted coefficient of determination (Use 2 decimal places) 6 An economic instructor at UCF is interested in the relationship between hours spent studying and total points earned in a course. Data collected on 13 students who took the course last semester follow # of observation(s) n = 13 # of independent variable(s) = 4 SSR = 3975 MSE = 56Find the Value for the SST. Round to the closest integer 7 In a regression analysis involving 30 observations the following estimated regression equation was obtained. y_hat (y^) = -1.9 + .0254 x 1 + .005 x 2 – .15 x 3 + .31 x 4 For this estimate regression equation the value for SSE is = 330 Suppose variables x 1 and x 4 are dropped from the model and the following estimated regression equation is obtained y_hat (y^) = -1.9 + + .065 x 2 + .44 x 4 For this estimate regression equation the value for SSE is = 400 Use an F test and a a = .05 level of significance to determine whether x 1 and x 4 contribute significantly to the model.