Several years ago the Faculty of Agricultural students participated in a study a U.S. college was doing on the starting salaries of graduates from Agriculture programs in North America. Not all of our graduating students that year could take part in the study, but most of them did. Data were collected (anonymously) on their starting salary (converted to U.S. dollars using the exchange rate at the time), their GPA, whether they had taken ABIZ 390 (dummy variable; 0 = have not taken the course and 1 = have taken the course) and their gender (dummy variable; 0 = male and 1 = female). (a) what signs do you expect for the coefficients on the independent variables for the model you are asked to estimate in part (b), below? Clearly explain your reasoning for each. (b) Using the dataset below, estimate an econometric model where salary is a function of GPA, having taken ABIZ 390 and gender. Fully report your results, including interpretation of the coefficients, statistical significance of the coefficients (i.e. are they different from zero?), and the coefficient of determination for your model.  (c) Suppose you wanted to test for an additional effect of being female and having taken ABIZ 390 on starting salary. Make the necessary addition to your dataset and re- estimate the appropriate model. Fully report your results.    Dataset:  Salary GPA abiz 390 Gender 29555 3.77 0 1 27958 3.4 0 0 27230 2.74 0 0 31070 3.88 0 1 27577 2.7 0 1 30007 3.36 0 0 28988 2.57 0 0 32655 3.81 0 0 29310 2.7 0 0 29145 3.29 0 1 26142 2.97 0 0 29460 2.16 0 0 28390 2.84 0 1 28574 2.53 0 0 28760 2.79 0 0 29665 3.81 0 0 27481 2.18 0 0 29186 2.25 0 0 29302 3.44 0 1 28917 3.04 0 1 32839 3.78 0 0 27277 2.03 0 0 26531 2.15 0 1 32537 3.89 0 0 28594 2.66 0 0 28268 3.07 0 1 29249 2.34 0 0 28525 3.89 0 0 26105 3.13 0 1 30694 3.4 0 1 33102 3.56 0 1 30201 2.74 0 1 26863 2.04 0 1 31556 3.61 0 1 29006 2.62 0 0 27054 2.32 0 0 31677 2.35 1 0 32430 2.7 1 0 34023 3.89 1 0 32786 2.52 1 1 34857 3.35 1 1 34151 3.11 1 0 35086 3.72 1 0 33517 2.26 1 0 36865 2.23 1 0 33110 2.59 1 1 32859 2.19 1 1 33181 2.73 1 0 34847 2.96 1 0 34384 2.66 1 1

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Several years ago the Faculty of Agricultural students participated in a study a U.S. college was doing on the starting salaries of graduates from Agriculture programs in North America. Not all of our graduating students that year could take part in the study, but most of them did. Data were collected (anonymously) on their starting salary (converted to U.S. dollars using the exchange rate at the time), their GPA, whether they had taken ABIZ 390 (dummy variable; 0 = have not taken the course and 1 = have taken the course) and their gender (dummy variable; 0 = male and 1 = female).

(a) what signs do you expect for the coefficients on the independent variables for the model you are asked to estimate in part (b), below? Clearly explain your reasoning for each.

(b) Using the dataset below, estimate an econometric model where salary is a function of GPA, having taken ABIZ 390 and gender. Fully report your results, including interpretation of the coefficients, statistical significance of the coefficients (i.e. are they different from zero?), and the coefficient of determination for your model. 

(c) Suppose you wanted to test for an additional effect of being female and having taken ABIZ 390 on starting salary. Make the necessary addition to your dataset and re- estimate the appropriate model. Fully report your results. 

 

Dataset: 

Salary GPA abiz 390 Gender
29555 3.77 0 1
27958 3.4 0 0
27230 2.74 0 0
31070 3.88 0 1
27577 2.7 0 1
30007 3.36 0 0
28988 2.57 0 0
32655 3.81 0 0
29310 2.7 0 0
29145 3.29 0 1
26142 2.97 0 0
29460 2.16 0 0
28390 2.84 0 1
28574 2.53 0 0
28760 2.79 0 0
29665 3.81 0 0
27481 2.18 0 0
29186 2.25 0 0
29302 3.44 0 1
28917 3.04 0 1
32839 3.78 0 0
27277 2.03 0 0
26531 2.15 0 1
32537 3.89 0 0
28594 2.66 0 0
28268 3.07 0 1
29249 2.34 0 0
28525 3.89 0 0
26105 3.13 0 1
30694 3.4 0 1
33102 3.56 0 1
30201 2.74 0 1
26863 2.04 0 1
31556 3.61 0 1
29006 2.62 0 0
27054 2.32 0 0
31677 2.35 1 0
32430 2.7 1 0
34023 3.89 1 0
32786 2.52 1 1
34857 3.35 1 1
34151 3.11 1 0
35086 3.72 1 0
33517 2.26 1 0
36865 2.23 1 0
33110 2.59 1 1
32859 2.19 1 1
33181 2.73 1 0
34847 2.96 1 0
34384 2.66 1 1

 Please fully describe your steps if you are using Excel. Thanks

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