After evaluating the single regression models, Ning generated three more models, each including two of the three possible cost drivers. Select output for each of these models is as follows.\ R-Square 0.6076\ \\\\table[[,Coefficients,Standard Error,,T-stat,P-value],[Intercept,198217.404,,47528.23841,4.17051864,0.00240976],[Marketing expenditures,1.80418879,0.757272868,2.38248175,0.04106032,],[Number of units sold,21.3176008,42.76944597,0.4984306,0.63013378,]]\ R-Square 0.3605\ \\\\table[[,Coefficients,Standard Error,T-stat,P-value],[Intercept,217217.995,69887.2802,3.10811917,0.01255689],[Number of units sold,91.0309587,41.04996818,2.21756466,0.05377736],[Number of salespeople,-539.13738,7066.988392,-0.0762896,0.94085772]]\ R-Square 0.5974

After evaluating the single regression models, Ning generated three more models, each including two of the three possible cost drivers. Select output for each of these models is as follows. R-Square 0.6076 R-Square 0.5974