3. Consider the following regression results = 36,900 + 200G, +320 E, +23000, (1040) (9.73) (19.69) N=25 R²=0.69 uppose the salary of a lecturer (S) is a function of gender, years of lecturing experience and alifications. (Standard errors in brackets) here Si=Salary of the ith lecturer Gi= A dummy variable equal to 1 if the ith lecturer is male and 0 otherwise Ei = The years of lecturing experience Qi = A dummy variable equal to 1 if the ith lecturer has a PhD and 0 otherwise Find a. Interpret the coefficient estimates of dummy variables Gi and Qi

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3. Consider the following regression results
S = 36,900 + 200G, +320 E, +2300Q,
(1040) (9.73)
(19.69)
R²=0.69
N=25
Suppose the salary of a lecturer (S) is a function of gender, years of lecturing experience and
qualifications. (Standard errors in brackets)
Where
Si=Salary of the ith lecturer
Gi = A dummy variable equal to 1 if the ith lecturer is male and 0 otherwise
Ei The years of lecturing experience
Qi = A dummy variable equal to 1 if the ith lecturer has a PhD and 0 otherwise
Find
a. Interpret the coefficient estimates of dummy variables Gi and Qi
Transcribed Image Text:3. Consider the following regression results S = 36,900 + 200G, +320 E, +2300Q, (1040) (9.73) (19.69) R²=0.69 N=25 Suppose the salary of a lecturer (S) is a function of gender, years of lecturing experience and qualifications. (Standard errors in brackets) Where Si=Salary of the ith lecturer Gi = A dummy variable equal to 1 if the ith lecturer is male and 0 otherwise Ei The years of lecturing experience Qi = A dummy variable equal to 1 if the ith lecturer has a PhD and 0 otherwise Find a. Interpret the coefficient estimates of dummy variables Gi and Qi
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