Login to Your Account

Solution Posted by

- Requests: 0
- Solutions: 241

Solution Detail

Price: $12.00

- From: Mathematics, Algebra
- Posted on: Mon 02 Feb, 2015
- Request id: None
- Purchased: 0 time(s)
- Average Rating: No rating

Request Description

Quiz 6 (Multiple Linear Regression)
This is a new paper use for the program
The 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 order
Determine the slope of the line for the Curing time
Determine the slope of the line for the Rpm
Determine the Y intersection
Determine the determination coefficient
Based on the R2 value what conclusion
Determine the Experimental Value of F
Determine the critical value of F
Based on the ANOVA what conclusion
_________________________________________
Quiz 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 production
Humidity
40%
50%
60%
70%
100 111 95 105
106 109 82 104
99 104 101 99
103 102 94 110
1.Determine the sum of square for total variation
2. Determine the sum of square for the treatment
3.Determine the sum of square for the experimental errors
4.Determine the experimental F
5.Determine the critical value of f
6.Based on the ANOVA what conclusion
______________________________________________________________________
Quiz 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 order
Temperature
70 80 90
Shift 1 125 130 132
125 118 124
137 141 142
Shift 2 140 138 136
1. Determine the sum of square for total variation
2. Determine the sum of square for the treatment
3. Determine the sum of square for the block
4. Determine the sum of square for the intersection of block and treatment
5. Determine the sum of square for the experimental errors
6. Determine the experimental F temperature
7. Determine the experimental F Shifts
8. Determine the experimental F temperature and Shifts
9. Determine the Critical Value of F Temperature
10. Determine the critical Value of F Shifts
11. Determine the critical value of F Temperature and shifts
12. Based on that ANOVA what the conclusion should be taken for temperature
Significant impact for the temperature and shifts
Significant impact for the temperature
No significant of the temperature
None of the above
13. Based on that ANOVA what the conclusion should be taken for shifts
Significant impact for the temperature and shifts
Significant impact for the temperature
No significant of the temperature
None of the above
14. Based on that ANOVA what the conclusion should be taken for both
Significant impact for the temperature and shifts
Significant impact for the temperature
No significant of the temperature
None of the above
Solution Description

Expert