A particular article used a multiple regression model to relate y-yield of hops to x₂ - mean temperature (°C) between date of coming into hop and date of picking and x₂ - mean percentage of sunshine during the same period. The model equation proposed is the following. y=415.11-6.6r₁ -4.50r₂+c (a) Suppose that this equation does indeed describe the true relationship. What mean yield corresponds to a temperature of 20 and a sunshine percentage of 39? (b) What is the mean yield when the mean temperature and percentage of sunshine are 19.1 and 42, respectively?

MATLAB: An Introduction with Applications
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A particular article used a multiple regression model to relate y = yield of hops to x₁ = mean temperature (°C) between date of coming into hop and date of picking and x₂ = mean percentage of sunshine during the same period. The model equation proposed is the following.
y = 415.116.6x₁4.50x2+e
(a) Suppose that this equation does indeed describe the true relationship. What mean yield corresponds to a temperature of 20 and a sunshine percentage of 39?
(b) What is the mean yield when the mean temperature and percentage of sunshine are 19.1 and 42, respectively?
You may need to use the appropriate table in Appendix A to answer this question.
Transcribed Image Text:A particular article used a multiple regression model to relate y = yield of hops to x₁ = mean temperature (°C) between date of coming into hop and date of picking and x₂ = mean percentage of sunshine during the same period. The model equation proposed is the following. y = 415.116.6x₁4.50x2+e (a) Suppose that this equation does indeed describe the true relationship. What mean yield corresponds to a temperature of 20 and a sunshine percentage of 39? (b) What is the mean yield when the mean temperature and percentage of sunshine are 19.1 and 42, respectively? You may need to use the appropriate table in Appendix A to answer this question.
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