A researcher has estimated the relationship between salaries of 100 selected employees of an organization (shown as "EAR
Posted: Sun Jul 10, 2022 10:10 am
A researcher has estimated the relationship between salaries of100 selected employees of an organization (shown as "EARN" in$/hour) and their years of education (shown as "YRSEDUC", in years)as per the following regression outcome with 5% level ofsignificance (numbers are made up):
Model 1: OLS, using observations 1-100Dependent variable: EARN
Use the above findings to answer the following questions:
A-Given the above estimated outcome, test to verify if theregression intercept is significant. Use a two-sided p-valuestatistical approach, and show all the required steps.
B-What happens to your finding in part A above, if the level ofsignificant is decreased to 1%?https://lms.brocku.ca/access/content/at ... LES.pdfPLS GIVE DETAILED ANSWER. WILL UPVOTE
const YRSEDUC coefficient 3.32418 0.451931 R-squared F(1, 7984) Log-likelihood -28571.28 Schwarz criterion 57160.52 0.022254 Mean dependent var 16.77115 Sum squared resid 598935.5 std. error 181.7164 1.00223 0.0335255 t-ratio 3.317 13.48 p-value 0.0009 *** 5.73e-041 *** S.D. dependent var 8.758696 S.E. of regression 8.661234 Adjusted R-squared 0.022131 P-value(F) 5.73e-41 Akaike criterion 57146.55 Hannan-Quinn 57151.33
Model 1: OLS, using observations 1-100Dependent variable: EARN
- A Researcher Has Estimated The Relationship Between Salaries Of 100 Selected Employees Of An Organization Shown As Ear 1 (64.53 KiB) Viewed 61 times
A-Given the above estimated outcome, test to verify if theregression intercept is significant. Use a two-sided p-valuestatistical approach, and show all the required steps.
B-What happens to your finding in part A above, if the level ofsignificant is decreased to 1%?https://lms.brocku.ca/access/content/at ... LES.pdfPLS GIVE DETAILED ANSWER. WILL UPVOTE
const YRSEDUC coefficient 3.32418 0.451931 R-squared F(1, 7984) Log-likelihood -28571.28 Schwarz criterion 57160.52 0.022254 Mean dependent var 16.77115 Sum squared resid 598935.5 std. error 181.7164 1.00223 0.0335255 t-ratio 3.317 13.48 p-value 0.0009 *** 5.73e-041 *** S.D. dependent var 8.758696 S.E. of regression 8.661234 Adjusted R-squared 0.022131 P-value(F) 5.73e-41 Akaike criterion 57146.55 Hannan-Quinn 57151.33