Based on the values generated from Minitab below, analyze the residuals from this experiment. You can...

 

 

 

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Based on the values generated from Minitab below, analyze the residuals from this experiment. You can choose TWO (2) types of checking in model adequacies. (8 marks) Design 1 1 1 1 2 2 2 2 3 3 3 3 States Johor Penang Kuala Lumpur Sarawak Johor Penang Kuala Lumpur Sarawak Johor Penang Kuala Lumpur Sarawak Response FITS1 RESI1 SRES1 TRES1 DFIT1 250 255.667 -5.667 -0.266 -0.245 -0.245 350 352.333 -2.333 -0.110 -0.100 -0.100 219 217.000 2.000 0.094 0.086 0.086 375 369.000 6.000 0.282 0.259 0.259 400 430.917 -30.917 -1.454 -1.649 -1.649 525 527.583 -2.583 -0.121 -0.111 -0.111 390 392.250 -2.250 -0.106 -0.097 -0.097 580 544.250 35.750 1.681 2.109 2.109 275 238.417 36.583 1.720 2.205 2.205 340 335.083 4.917 0.231 0.212 0.212 200 0.012 0.011 0.011 199.750 0.250 351.750 -41.750 -1.963 -2.995 -2.995 310 where FITS1= fitted values, RESII = residuals values, SRESI = standardized residuals, TRESI = deleted residuals and DFITI = DFITS. Suppose that this experiment had been run as a completely randomized design, and ignoring the potential regional differences, and using the same data. Reanalyze the experiment under this new assumption. Explain the difference occurred on the results and conclusions by ignoring the blocking. (8 marks) Based on the values generated from Minitab below, analyze the residuals from this experiment. You can choose TWO (2) types of checking in model adequacies. (8 marks) Design 1 1 1 1 2 2 2 2 3 3 3 3 States Johor Penang Kuala Lumpur Sarawak Johor Penang Kuala Lumpur Sarawak Johor Penang Kuala Lumpur Sarawak Response FITS1 RESI1 SRES1 TRES1 DFIT1 250 255.667 -5.667 -0.266 -0.245 -0.245 350 352.333 -2.333 -0.110 -0.100 -0.100 219 217.000 2.000 0.094 0.086 0.086 375 369.000 6.000 0.282 0.259 0.259 400 430.917 -30.917 -1.454 -1.649 -1.649 525 527.583 -2.583 -0.121 -0.111 -0.111 390 392.250 -2.250 -0.106 -0.097 -0.097 580 544.250 35.750 1.681 2.109 2.109 275 238.417 36.583 1.720 2.205 2.205 340 335.083 4.917 0.231 0.212 0.212 200 0.012 0.011 0.011 199.750 0.250 351.750 -41.750 -1.963 -2.995 -2.995 310 where FITS1= fitted values, RESII = residuals values, SRESI = standardized residuals, TRESI = deleted residuals and DFITI = DFITS. Suppose that this experiment had been run as a completely randomized design, and ignoring the potential regional differences, and using the same data. Reanalyze the experiment under this new assumption. Explain the difference occurred on the results and conclusions by ignoring the blocking. (8 marks)

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From the problem mentioned above the square root transform the fo... View the full answer