Based on the following regression results, answer the questions below.

The dependent variable is Feeder Cattle Price ($/cwt)

Number is the number of feeder cattle

Corn is in $/bushel

Fed Cattle is in $/cwt.

a.Which of the independent variables are significant?

b.If the corn price increase $.10 per bushel, how much would you expect feeder cattle prices to change in $/cwt?

c.What percent of the variation in feeder cattle prices were explained by this regression model?

d.Do of the independent variable have the correct sign on the coefficient estimate? Explain.

Based on the following regression results, answer the questions below. SUMMARY OUTPUT The dependent variable is Feeder Cattle Price ($/cwt) Regression Statistics Number is the number of feeder cattle Multiple R 0.9320 R Square 0.8687 Corn is in $/bushel Adjusted F 0.8384 Standard E 5.3275 Fed Cattle is in $/cwt. Observatio 17 ANOVA SS MS Regression 3 2441 052 813.684 28.66825 Residual 13 368.9759 28.38276 Tota 16 2610 028 Coefficientstandard Err & Stet P-value Intercept 14.3936 55.8993 0.2575 0.8008 Number -0.0001 0,0029 0.0348 0.9728 Corn -10.2900 3.5782 -2.8758 0.0130 Fed Cattle 1 2982 0. 1949 6.6608 0 0000 a. Which of the independent variables are significant? b. If the corn price increase $.10 per bushel. how much would you expect feeder cattle prices to change in $/cwt? c. What percent of the variation in feeder cattle prices were explained by this regression model? d. Do all of the independent variable have the correct sign on the coefficient estimate? Explain. HTML Editor 12pt Paragraph