A researcher has designed the relationship between the salaries of selected employees of an organization (shown as "EARN" in $/hour) and their years of education (shown as "YRSEDUC", in years) and their age (shown as "AGE" in years) and their gender (shown as the binary variable "MALE", which "MALE"=1 indicates a male employee, and "MALE"=0 otherwise) as hereunder. A total number of () employees were selected for this study: EARN) = B(0) + B(1) YRSEDUC) + B(2) AGE) + B(3) MALEo + Um Using the above findings, answer the following questions: A-How would you interpret the slope coefficient of the variable "MALE"? B-Suppose that the t-ratio of the corresponding slope coefficient for "MALE" becomes -0.58 in an estimated regression. Verify if "MALE" is an important variable in the estimated regression. (Use 5% level of significance, and a two sided test. Show all required steps)

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A researcher has designed the relationship between the salaries of selected
employees of an organization (shown as "EARN" in $/hour) and their years of
education (shown as "YRSEDUC", in years) and their age (shown as "AGE" in years)
and their gender (shown as the binary variable "MALE", which "MALE"=1 indicates a
male employee, and "MALE"=0 otherwise) as hereunder. A total number of ()
employees were selected for this study:
EARN) = B(0) + B(1) YRSEDUC) + B(2) AGE) + B(3) MALEo + Um
Using the above findings, answer the following questions:
A-How would you interpret the slope coefficient of the variable "MALE"?
B-Suppose that the t-ratio of the corresponding slope coefficient for "MALE"
becomes -0.58 in an estimated regression. Verify if "MALE" is an important variable
in the estimated regression. (Use 5% level of significance, and a two sided test. Show
all required steps)
Transcribed Image Text:A researcher has designed the relationship between the salaries of selected employees of an organization (shown as "EARN" in $/hour) and their years of education (shown as "YRSEDUC", in years) and their age (shown as "AGE" in years) and their gender (shown as the binary variable "MALE", which "MALE"=1 indicates a male employee, and "MALE"=0 otherwise) as hereunder. A total number of () employees were selected for this study: EARN) = B(0) + B(1) YRSEDUC) + B(2) AGE) + B(3) MALEo + Um Using the above findings, answer the following questions: A-How would you interpret the slope coefficient of the variable "MALE"? B-Suppose that the t-ratio of the corresponding slope coefficient for "MALE" becomes -0.58 in an estimated regression. Verify if "MALE" is an important variable in the estimated regression. (Use 5% level of significance, and a two sided test. Show all required steps)
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