muhammadalisultan452

muhammadalisultan452

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For this and the text set of questions - where appropriate: The following is a partial regression result of a two- variable model (1.e. simple linear regression. In the study, a health care economist seeks to determine if a relationship exists between personal income and expenditures on health care, both measured in billions of dollars. Thet statistic for the slope coefficient is 49.27. The calculatex coefficient of determination for this regression is: 0.9802, The standard error of the estimate is: 2.5471, The lower limit of a 95% confidence interval for bl is: 0.136 Regression Statistics Multiple R 7 R Square Standard Error Observations 22 ??? 51 ANOVA MSF QUESTION 13 The f value is equal to: of 1 SS 15,750.3157 P-value 0.00001 Regression Residua Umor Total 7.42 772 16,068.2143 577.64 QUESTION 11 The estimated regression model (i.e. the prediction equation) is given by C Y =2.02 +0.17% Y =2.82 0.0437X Y = 1.3952 + 2.8272X Y 0.1764.0.14165X Erone of the above 1,876.22 Upper Lower P-value Standard Error 0.467509347 0.002875 Coefficients 0.1764984 0.1416522 Intercept Income 0.3718 2,427.71 67509347 0.377524859 ??? Lower 95% -0.76 ??? 0.707413927 0.00001 Upper 95% 1.116 0.147 None of the above QUESTION 18 The correlation coefficient of the above model is: QUESTION 15 - The sum of squares total (SST) is a measure of Explained variation of Y: 16,068.2143 and is equal to: QUESTION 16 The estimated variance of the residual (error term) is: 55.1830 QUESTION 17 The % of total variation that has been explained by the regression is measured by_and it can be calculated as: UR square; SSR/SST I R square; 1- (SSR/SST) INR square; 1. (SSR/SST) [IV] Standard error of the estimate: 1. (SSR/SST) (V] mean square regression; SSR/SST I and III 0.99 0.9802 Total variation of Y: 15,750.3157 2.5471 0.9718 II and V Unexplained variation 317,8986 Total variation of Y: 16,068.2143 none of the above 6.4877 none of the above IV and V None of the above I and V None of the choices is completely correct QUESTION 19 QUESTION 20 Based on the p-value for bl, the null hypothesis should be: The residual sum of squares (same as sum of squares error) in the accepted above model is: 1876.2224 QUESTION 21 THE FOLLOWING IS THE LAST QUESTION RELATED TO THE REGRESSION OUTPUT ABOVE. Suppose income ranges from $3 billion to $17 billion. Forecast the health care expenditure il income is $6.5 billion. rejected 317.8986 there is not enough information to make a decisior none of the above $6.78billion 15750.3157 2427.7095 $6.25 billion None of the above $1.097 billion $4.5 billion None of the above
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For values of p(i.e. the frequency of allele B1ranging from 0.1 to 0.9, in increments of 0.1, calculate each of the following: m, a1, a2, a(= a1- a2), breeding values for the three genotypes (A11,A12, and A22), and the additive, dominance, and total genetic variance. Prior to doing these calculations, rescale your genotypic values to set m= 0. Set this up in an Excel spreadsheet, with each of the inputs (a, d, and p) and all calculated values in separate columns. Put each value of pin a separate row. Then answer the following questions:

a. How would you describe the dominance relationship of B1to B2? (I.e. is the effect of B1dominant, partially dominant, completely additive, recessive, partially recessive, or overdominant?)

these data needed for work these questions

Sample Genotype Weight

1 B1B1 113

2 B1B1 96

3 B1B1 109

4 B1B1 113

5 B1B1 114

6 B1B1 108

7 B1B1 112

8 B1B1 90

9 B1B1 106

10 B1B1 124

11 B1B1 103

12 B1B1 117

13 B1B1 119

14 B1B1 113

15 B1B1 113

16 B1B2 108

17 B1B2 118

18 B1B2 103

19 B1B2 112

20 B1B2 93

21 B1B2 110

22 B1B2 99

23 B1B2 101

24 B1B2 97

25 B1B2 106

26 B1B2 107

27 B1B2 110

28 B1B2 94

29 B1B2 118

30 B1B2 107

31 B1B2 108

32 B1B2 104

33 B1B2 110

34 B1B2 98

35 B1B2 96

36 B1B2 105

37 B1B2 109

38 B1B2 125

39 B2B2 79

40 B2B2 85

41 B2B2 98

42 B2B2 81

43 B2B2 97

44 B2B2 103

45 B2B2 90

46 B2B2 82

47 B2B2 84

48 B2B2 105

49 B2B2 84

50 B2B2 92

b. How does the value of achange as the frequency of B1changes?

c. At what frequency of B1is VAthe greatest? VD? VG?

d. Suppose B1is initially at low frequency (0.1) in the population, but the mice are selected for higher body weight over many generations. What will happen over time to the frequency of B1? What will happen to the breeding value of B1B2heterozygotes?

Sample Genotype Weight

1 B1B1 113

2 B1B1 96

3 B1B1 109

4 B1B1 113

5 B1B1 114

6 B1B1 108

7 B1B1 112

8 B1B1 90

9 B1B1 106

10 B1B1 124

11 B1B1 103

12 B1B1 117

13 B1B1 119

14 B1B1 113

15 B1B1 113

16 B1B2 108

17 B1B2 118

18 B1B2 103

19 B1B2 112

20 B1B2 93

21 B1B2 110

22 B1B2 99

23 B1B2 101

24 B1B2 97

25 B1B2 106

26 B1B2 107

27 B1B2 110

28 B1B2 94

29 B1B2 118

30 B1B2 107

31 B1B2 108

32 B1B2 104

33 B1B2 110

34 B1B2 98

35 B1B2 96

36 B1B2 105

37 B1B2 109

38 B1B2 125

39 B2B2 79

40 B2B2 85

41 B2B2 98

42 B2B2 81

43 B2B2 97

44 B2B2 103

45 B2B2 90

46 B2B2 82

47 B2B2 84

48 B2B2 105

49 B2B2 84

50 B2B2 92

Answer: Step-by-step explanation:To calculate the genotypic values, breeding v...

A particular gene Baffects body weight in mice. In a randomly mating population, Bhas two alleles, designated B1andB2. The genotypes and body weights of a sample of 50 mice are shown on the following page, and are also posted in an Excel spreadsheet on Canvas.

1. Calculate the genotypic values for the three genotypes B1B1,B1B2, and B2B2.

Genotype

Avg. weight (g)

B1B1

B1B2

B2B2

1. Find the mid-homozygote value (m) and the values for a and d.

2. For values of p(i.e. the frequency of allele B1ranging from 0.1 to 0.9, in increments of 0.1, calculate each of the following: m, a1, a2,a(= a1- a2), breeding values for the three genotypes (A11,A12, and A22), and the additive, dominance, and total genetic variance. Prior to doing these calculations, rescale your genotypic values to set m= 0. Set this up in an Excel spreadsheet, with each of the inputs (a, d, and p) and all calculated values in separate columns. Put each value of pin a separate row. Then answer the following questions:

a. How would you describe the dominance relationship of B1to B2? (I.e. is the effect of B1dominant, partially dominant, completely additive, recessive, partially recessive, or overdominant?)

b. How does the value of achange as the frequency of B1changes?

c. At what frequency of B1is VAthe greatest? VD? VG?

d. Suppose B1is initially at low frequency (0.1) in the population, but the mice are selected for higher body weight over many generations. What will happen over time to the frequency of B1? What will happen to the breeding value of B1B2heterozygotes?

below is the data that need to solve above question and I WANT TO GET HELP OR GUIDE ON HOW TO DO THESE QUESTION IF ANY ONE KNOW:

Sample Genotype Weight

1 B1B1 113

2 B1B1 96

3 B1B1 109

4 B1B1 113

5 B1B1 114

6 B1B1 108

7 B1B1 112

8 B1B1 90

9 B1B1 106

10 B1B1 124

11 B1B1 103

12 B1B1 117

13 B1B1 119

14 B1B1 113

15 B1B1 113

16 B1B2 108

17 B1B2 118

18 B1B2 103

19 B1B2 112

20 B1B2 93

21 B1B2 110

22 B1B2 99

23 B1B2 101

24 B1B2 97

25 B1B2 106

26 B1B2 107

27 B1B2 110

28 B1B2 94

29 B1B2 118

30 B1B2 107

31 B1B2 108

32 B1B2 104

33 B1B2 110

34 B1B2 98

35 B1B2 96

36 B1B2 105

37 B1B2 109

38 B1B2 125

39 B2B2 79

40 B2B2 85

41 B2B2 98

42 B2B2 81

43 B2B2 97

44 B2B2 103

45 B2B2 90

46 B2B2 82

47 B2B2 84

48 B2B2 105

49 B2B2 84

50 B2B2 92

Answer: Step-by-step explanation:To calculate the genotypic values, breeding v...

4.Which of the equations below represent the partition of the phenotypic value into genotypic values of 3 loci, including interaction (genotypic) between loci 1 and 3, and environment value, while deviating them from the mean?

P = G1 + G2 + G3 + I13 + E

P = µ + G1 + G2 + G3 + I13 + E

P = G1 + G2 + G3 + I123 + E

P = µ + G1 + G2 + G3 + I123 + E

5 -6 The question description below should be use for this question and question 6:

An animal scientist that did not take an animal breeding course at ISU during her/his undergraduate education was requested to help with the interpretation of some results at a cattle breed association (AASCB; The American Association of Some Cattle Breed). More specifically, AASCB is interested in genetically improving insemination rates in bulls.

Based on the results they obtained, it seems that there are 2 major QTL for this trait. In general, these 2 loci alone explain 80% of all genetic variability, whereas the other 20% is controlled by lots and lots of loci with smaller effect. So, the practical thing to do is to work with the genotypes of these 2 loci.

One of these loci (T/t) is purely additive, whereas the other locus (D/d) is partially dominant. The additive effects (a) for these two loci are 5% (T/t) and 3% (D/d). The dominance effect (d) is of 2%. In other words, we would expect TT, Tt, and tt animals to have 5%, 0%, and - 5% insemination rate compared to the mean. Likewise, DD, Dd, and dd animals would have 3%, 2%, and -3%, respectively. These are their genotypic values at each locus.

Question:

Given all of this and your knowledge of genotypic values within and across loci, what is the genotypic value of an animal with genotype TTDD?

-4%

4%

-10%

8%

-8%

10%

Please use the description in question 5.

6.Interestingly, it seems that TTdd animals have 5% greater insemination rate than what you would expect them to have. Thus, it seems that there is an interaction between these two loci when genotypes TT and dd are present on the same individual.

What is the genotypic value for a TTdd animal given all the information in this question and question 5?

9%

5%

-4%

1%

7%

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