STATS – Quiz 6, 7 and 8 Questions Set

Quiz 6 (Multiple Linear Regression)This is a new paper use programThe production of a chemical compound requires a duration period of 5.5 hours +/- 5 hours speed of 130 rmp +/- 20 rmp to obtain an acceptable product. If we want to know with a 95%confidence level, if these variables affect the production yield, then a multiple linear regression analysis.three columns curing with 5.20,5.30,5.20,5.70,5.60, second column Rpm with 120.00,150.00,110.00,130,00,124,0 and yield 0.90,0.80,0.92, 0.89, 0.87 in the same orderDetermine the slope of the line Curing timeDetermine the slope of the line RpmDetermine the Y intersectionDetermine the determination coefficientBased on the R2 value what conclusionDetermine the Experimental Value of FDetermine the critical value of FBased on the ANOVA what conclusionQuiz 7 (design of experimental single factor )The production manager thinks that the humidity is affecting the production rate as it increases. Using an alpha of 5% determine if humidity affects the rate of productionHumidity40%50%60%70%100 111 95 105106 109 82 10499 104 101 99103 102 94 1101.Determine the sum of square variation2. Determine the sum of square treatment3.Determine the sum of square experimental errors4.Determine the experimental F5.Determine the critical value of f6.Based on the ANOVA what conclusionQuiz 8 (desing of experiments (two factor desing)Determine if there is a significant impact on the production rate from the temperature and shift of the process. Use a type 1 error of 5%Shift 1; column 1: 70,125,125. Column two 80,130, 118,. Column three 90,132,124. And shift 2 column 1: 137,140. Column two 141,138, and column three 142,136. This is the orderTemperature70 80 90Shift 1 125 130 132125 118 124137 141 142Shift 2 140 138 1361. Determine the sum of square variation2. Determine the sum of square treatment3. Determine the sum of square block4. Determine the sum of square intersection of block and treatment5. Determine the sum of square experimental errors6. Determine the experimental F temperature7. Determine the experimental F Shifts8. Determine the experimental F temperature and Shifts9. Determine the Critical Value of F Temperature10. Determine the critical Value of F Shifts11. Determine the critical value of F Temperature and shifts12. Based on that ANOVA what the conclusion should be takenSignificant impact temperature and shiftsSignificant impact temperatureNo significant of the temperatureNone of the above13. Based on that ANOVA what the conclusion should be takenSignificant impact temperature and shiftsSignificant impact temperatureNo significant of the temperatureNone of the above14. Based on that ANOVA what the conclusion should be takenSignificant impact temperature and shiftsSignificant impact temperatureNo significant of the temperatureNone of the above