The question is attached as an image below

The Yorkshire Tourist Association gives out pamphlets, maps and other tourist related information to people who call a tollfree number and request the information. The association orders the packets of information from a document-printing company and likes to have enough available to meet immediate needs without having too many sitting around taking up space. The marketing manager decided to develop a multiple regression model to be used in predicting the number of calls that will be received in the coming week. A random sample of 24 weeks was collected with the following variables: y: Number of calls x1=Number of ads placed the previous week x2=N1unber of calls received the previous week x3=number of airline tour bookings into Yorkshire cities for the current week. You are provided with the following output: Regression Statistics Multiple R 0.8438 R Square A Adjusted R Square B Standard Error C Observations 24 ANOVA of SS MS F Regression D 153574.046] K N Residual E H L Total P 2157286250 Coeicienfs StandardError {Stat P-valzre Intercept -271.7658 I -2.8551 0.01 Ads Place Previous Week 34.4406 5.8269 M 0.00 Calls Received Previous Week G 0.1377 -0.2233 0.83 Airline Bookings 0.0567 J 3.4421 0.00 a) Determine the values of A, B, , N. Show your work briey. b) Test the validity of the model using F test (d=5%)