Jim Royo, manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000's). He selects the dollar value of residential building permits (in $10,000) as the predictor variable. An analysis of the data yielded the following tables: Intercept X Coefficients Standard Error t statistic reject Ho: p#0 reject H: p = 0 do not reject H: p=0 222.1456 6.152885 the test is inconclusive do not reject: p = 0 df SS 259643.9 1 20 492791.3 21 752435.2 p value 0.007284 74.765 2.971252 1.895423 3.24618 0.003866 MS F 259643.9 10.53768 24639.56 Regression Residual Total Jim's calculated value for the Durbin-Watson statistic is 1.14. Using a = 0.05, the appropriate decision is: p value 0.004046

Jim Royo, manager of Billings Building Supply (BBS), wants to develop a model to forecast BBS's monthly sales (in $1,000 's). He selects the dollar value of residential building permits (in $10,000 ) as the predictor variable. An analysis of the data yielded the following tables: Jim's calculated value for the Durbin-Watson statistic is 1.14 . Using =0.05, the appropriate decision is: reject H0:=0 rejoct H0;=0 do not reject H0:=0 the test is inconclusive do not reject: =0