A particular article proposed a quadratic regression model to describe the relationship between x = degree of delignification during the processing of wood pulp for paper and y = total chlorine content. Suppose that the actual model is the following. y-165+75-4²+ (a) Mean chlorine content for x = 6 is lower than mean chlorine content for x = 8. (b) What is the change in mean chlorine content when the degree of delignification increases from 6 to 77 23 What is the change in mean chlorine content when the degree of delignification increases from 13 to 14? 33

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A particular article proposed a quadratic regression model to describe the relationship between x = degree of delignification during the processing of wood pulp for paper and y = total chlorine content. Suppose that the actual
model is the following.
165+752-4r²+c
(a) Mean chlorine content for x = 6 is lower than ✔✔✔ mean chlorine content for x = 8.
(b) What is the change in mean chlorine content when the degree of delignification increases from 6 to 7?
What is the change in mean chlorine content when the degree of delignification increases from to 14?
33
x
Transcribed Image Text:A particular article proposed a quadratic regression model to describe the relationship between x = degree of delignification during the processing of wood pulp for paper and y = total chlorine content. Suppose that the actual model is the following. 165+752-4r²+c (a) Mean chlorine content for x = 6 is lower than ✔✔✔ mean chlorine content for x = 8. (b) What is the change in mean chlorine content when the degree of delignification increases from 6 to 7? What is the change in mean chlorine content when the degree of delignification increases from to 14? 33 x
The relationship between yield of maize, date of planting, and planting density was investigated in an article. Let the variables be defined as follows.
y = percent maize yield
x = planting date (days after April 20)
z = planting density (plants/ha)
The following regression model with both quadratic terms where x₁ = x, X₂ = 2, x3 = x² and x4 = 2² provides a good description of the relationship between y and the independent variables.
y = a +3₁x₂ + Brzy + Były + Baixa +c
(a) Ir a = 21.07, B₁ = 0.653, ₂ = 0.0022, B3 = -0.0207, and B4=0.00002, what is the population regression function?
y = 21.07+0.653x +0.0022z-0.0207x²+0.000022²
X
(b) Use the regression function in Part (a) to determine the mean yield for a plot planted on May 7 with a density of 41,182 plants/ha. (Give the exact answer.)
(c) Would the mean yield be higher for a planting date of May 7 or May 23 (for the same density)?
The mean yield would be higher for May 7
You may need to use the appropriate table in Appendix A to answer this question.
Additional Materialn
Transcribed Image Text:The relationship between yield of maize, date of planting, and planting density was investigated in an article. Let the variables be defined as follows. y = percent maize yield x = planting date (days after April 20) z = planting density (plants/ha) The following regression model with both quadratic terms where x₁ = x, X₂ = 2, x3 = x² and x4 = 2² provides a good description of the relationship between y and the independent variables. y = a +3₁x₂ + Brzy + Były + Baixa +c (a) Ir a = 21.07, B₁ = 0.653, ₂ = 0.0022, B3 = -0.0207, and B4=0.00002, what is the population regression function? y = 21.07+0.653x +0.0022z-0.0207x²+0.000022² X (b) Use the regression function in Part (a) to determine the mean yield for a plot planted on May 7 with a density of 41,182 plants/ha. (Give the exact answer.) (c) Would the mean yield be higher for a planting date of May 7 or May 23 (for the same density)? The mean yield would be higher for May 7 You may need to use the appropriate table in Appendix A to answer this question. Additional Materialn
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