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An Analyst Examines the Effect That Various Variables Have on Crop

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An analyst examines the effect that various variables have on crop yield. He estimates y = β0 + β1x1 + β2x2 + β3x3 + ε. where y is the average yield in bushels per acre, x1 is the amount of summer rainfall, x2 is the average daily use in machine hours of tractors on the farm, and x3 is the amount of fertilizer used per acre. The results of the regression are as follows: An analyst examines the effect that various variables have on crop yield. He estimates y = β<sub>0</sub> + β<sub>1</sub>x<sub>1</sub> + β<sub>2</sub>x<sub>2</sub> + β<sub>3</sub>x<sub>3</sub> + ε. where y is the average yield in bushels per acre, x<sub>1</sub> is the amount of summer rainfall, x<sub>2</sub> is the average daily use in machine hours of tractors on the farm, and x<sub>3</sub> is the amount of fertilizer used per acre. The results of the regression are as follows:   a. At the 10% significance level, are the explanatory variables jointly significant in explaining crop yield? Explain. B) At the 10% significance level, is fertilizer significant in explaining crop yield? Explain. C) At the 10% significance level, can you conclude that the slope coefficient attached to rainfall differs from 9? Explain. a. At the 10% significance level, are the explanatory variables jointly significant in explaining crop yield? Explain.
B) At the 10% significance level, is fertilizer significant in explaining crop yield? Explain.
C) At the 10% significance level, can you conclude that the slope coefficient attached to rainfall differs from 9? Explain.


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