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 = x12  and  x4 = x22  provides a good description of the relationship between y and the independent variables. y = ? + ?1 x1 + ?2 x2 + ?3 x3 + ?4 x4 + e (a) If ? = 21.05, ?1 = 0.652, ?2 = 0.0025,  ?3 = −0.0204,  and  ?4 = 0.5,  what is the population regression function? y =        (b) Use the regression function in part (a) to determine the mean yield (in percent) for a plot planted on May 8 with a density of 41,182 plants/ha. (Round your answer to two decimal places.)  % (c) Would the mean yield be higher for a planting date of May 8 or May 22 (for the same density)? The mean yield would be higher for     . (d) Is it appropriate to interpret  ?1 = 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? Yes, since there are no other terms involving x1.Yes, since there are other terms involving x1.    No, since there are other terms involving x1.No, since there are no other terms involving x1.

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ISBN:9781305115545
Author:James Stewart, Lothar Redlin, Saleem Watson
Publisher:James Stewart, Lothar Redlin, Saleem Watson
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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 = x12
 and 
x4 = x22
 provides a good description of the relationship between y and the independent variables.
y = ? + ?1 x1 + ?2 x2 + ?3 x3 + ?4 x4 + e
(a)
If ? = 21.05, ?1 = 0.652, ?2 = 0.0025, 
?3 = −0.0204,
 and 
?4 = 0.5,
 what is the population regression function?
y = 
 
 
 
(b)
Use the regression function in part (a) to determine the mean yield (in percent) for a plot planted on May 8 with a density of 41,182 plants/ha. (Round your answer to two decimal places.)
 %
(c)
Would the mean yield be higher for a planting date of May 8 or May 22 (for the same density)?
The mean yield would be higher for     .
(d)
Is it appropriate to interpret 
?1 = 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?
Yes, since there are no other terms involving x1.Yes, since there are other terms involving x1.    No, since there are other terms involving x1.No, since there are no other terms involving x1.
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