The relationship between yield of maize (a type of corn), date of planting, and planting density was investigated in an article. Let the variables be defined as follows. y = maize yield (percent) X₁ = planting date (days after April 20) x2 = planting density (10,000 plants/ha) 2 2 The following regression model with both quadratic terms where x3 = x₁² and x4 = x₂ provides a good description of the relationship between y and the independent variables. y = y = a + B₁x₁ + ₂x2 + B3x3 + B4X4 + e (a) If a = 21.08, B₁ = 0.652, B₂ = 0.0023, B3 = -0.0208, and 4 = 0.2, what is the population regression function? (b) Use the regression function in part (a) to determine the mean yield (in percent) for a plot planted on May 3 with a density of 41,178 plants/ha. (Round your answer to two decimal places.) % (c) Would the mean yield be higher for a planting date of May 3 or May 20 (for the same density)? The mean yield would be higher for ---Select--- V (d) Is it appropriate to interpret B₁ = 0.652 as the average change in yield when planting date increases by one day and the values of the other three predictors are held fixed? Why or why not? O No, since there are no other terms involving x₁. O No, since there are other terms involving X₁. O Yes, since there are other terms involving X₁. O Yes, since there are no other terms involving x₁.

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The relationship between yield of maize (a type of corn), date of planting, and planting density was investigated in an article. Let the variables be
defined as follows.
y = maize yield (percent)
x₁ = planting date (days after April 20)
x₂ = planting density (10,000 plants/ha)
=
The following regression model with both quadratic terms where x3
and the independent variables.
y =
2
%
x₁
and X4
y = a + B₁x₁ + B₂×2 + B3×3 + B4x4 + e
(a) If a = 21.08, B₁ = 0.652, B₂ = 0.0023, B3 = -0.0208, and 4 = 0.2, what is the population regression function?
=
O No, since there are other terms involving X₁.
O Yes, since there are other terms involving X₁.
O Yes, since there are no other terms involving X₁.
x₂ provides a good description of the relationship between y
(b) Use the regression function in part (a) to determine the mean yield (in percent) for a plot planted on May 3 with a density of 41,178
plants/ha. (Round you answer to two decimal places.)
(c) Would the mean yield be higher for a planting date of May 3 or May 20 (for the same density)?
The mean yield would be higher for ---Select--- V
(d) Is it appropriate to interpret B₁ = 0.652 as the average change in yield when planting date increases by one day and the values of the other
three predictors are held fixed? Why or why not?
O No, since there are no other terms involving X₁.
Transcribed Image Text:The relationship between yield of maize (a type of corn), date of planting, and planting density was investigated in an article. Let the variables be defined as follows. y = maize yield (percent) x₁ = planting date (days after April 20) x₂ = planting density (10,000 plants/ha) = The following regression model with both quadratic terms where x3 and the independent variables. y = 2 % x₁ and X4 y = a + B₁x₁ + B₂×2 + B3×3 + B4x4 + e (a) If a = 21.08, B₁ = 0.652, B₂ = 0.0023, B3 = -0.0208, and 4 = 0.2, what is the population regression function? = O No, since there are other terms involving X₁. O Yes, since there are other terms involving X₁. O Yes, since there are no other terms involving X₁. x₂ provides a good description of the relationship between y (b) Use the regression function in part (a) to determine the mean yield (in percent) for a plot planted on May 3 with a density of 41,178 plants/ha. (Round you answer to two decimal places.) (c) Would the mean yield be higher for a planting date of May 3 or May 20 (for the same density)? The mean yield would be higher for ---Select--- V (d) Is it appropriate to interpret B₁ = 0.652 as the average change in yield when planting date increases by one day and the values of the other three predictors are held fixed? Why or why not? O No, since there are no other terms involving X₁.
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