Suppose that you fitted the model ELY) - +*+ , to n 20 data points and obtained the following MINITAB printout. Regressi
Posted: Wed May 11, 2022 7:35 pm
Suppose that you fitted the model ELY) - +*+ , to n 20 data points and obtained the following MINITAB printout. Regression Analysis y ver , X- Analysis of Variance Source ter MS MI -Vale Begression 4122 20010 G Tror 17 355.0 2 Valo 0.00 Model Summary 54 - Coefficienta Cut Coet Natue Constant 3.40 3. 3.002 1.6 . 0.000 0613 0.00 Regression Equation 12.10.2015 Do the data provide sufficient evidence to indicate that the model contributes information for the prediction of y use the p-valur approach. (UM -0.05. Use the exact values found in the MINITAN output) State the null and alternative hypotheses Mo At least one of is not ON -- 1. At least one of is not OHA MA
Ho! At least one of its not MA OH- MAA Find the test statistic Find the approximate p-value for the test p-value < 0.005 0.005 <p-value < 0.010 0.010 < p value < 0.025 0.025 p-value < 0.050 0.050 <p-value < 0.100 pale > 0.100 State your conclusion W rejected. There is not evidence to indicate that the model contributes information for the prediction of Hos rejected. There is sufficient evidence to indicate that the model contributes information for the predictionary Hot rejected. There insuficient evidence to indicate that the model tributes formation for the prediction of not rejected. There is sent evidence to indicate that the model Wormation for the prediction of
Ho! At least one of its not MA OH- MAA Find the test statistic Find the approximate p-value for the test p-value < 0.005 0.005 <p-value < 0.010 0.010 < p value < 0.025 0.025 p-value < 0.050 0.050 <p-value < 0.100 pale > 0.100 State your conclusion W rejected. There is not evidence to indicate that the model contributes information for the prediction of Hos rejected. There is sufficient evidence to indicate that the model contributes information for the predictionary Hot rejected. There insuficient evidence to indicate that the model tributes formation for the prediction of not rejected. There is sent evidence to indicate that the model Wormation for the prediction of