A multiple regression analysis produced the following tables. Predictor Coefficients Standard Error t Statistic p-value Intercept -139.609 2548.989 -0.05477 0.957154 x 24.24619 22.25267 1.089586 0.295682 x 32.10171 17.44559 1.840105 0.08869 Source df SS MS F p-value Regression 2 302689 151344.5 1.705942 0.219838 Residual 13 1153309 88716.07 Total 15 1455998 For x = 40 and x = 90, the predicted value of y is ____________. 1 2 1 2 753.77 3,719.39 1,565.75 1,355.26 1,173.00
The null hypothesis is Ho: p1=p2 and alternative is Ha: p1 not = to…
The null hypothesis is Ho: p1=p2 and alternative is Ha: p1 not = to p2 and level of significance is alpha =0.05 My question is if i am using a two tailed z test for this then why am I using the two tailed z hypothesis test?