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
coefficient std. error t-ratio p-value ------------------------------------------------------------------------------------------------------------- const 3.32418 1.00223 3.317 0.0009 *** YRSEDUC 0.451931 0.0335255 13.48 5.73e-041 ***
Mean dependent var 16.77115 S.D. dependent var 8.758696Sum squared resid 598935.5 S.E. of regression 8.661234R-squared 0.022254 Adjusted R-squared 0.022131F(1,7984) 181.7164 P-value(F) 5.73e-41Log-likelihood −28571.28 Akaike criterion 57146.55Schwarz criterion 57160.52 Hannan-Quinn 57151.33
Use the above findings to answer the following questions:
A-Construct the 95% confidence interval of the estimatedintercept above.
B-Given your findings in part A above, is it safe to claim thatthe above estimated intercept is significant? Show all the requiredsteps.
(Statistical tables are attached if needed)https://lms.brocku.ca/access/content/at ... TABLES.pdf
PLaEASE GIVE A DETAILED ANSWER. WILL DEFINITELY GIVE ANUPVOTE.
Model 1: OLS, using observations 1-100Dependent variable: EARN
coefficient std. error t-ratio p-value ------------------------------------------------------------------------------------------------------------- const 3.32418 1.00223 3.317 0.0009 *** YRSEDUC 0.451931 0.0335255 13.48 5.73e-041 ***
Mean dependent var 16.77115 S.D. dependent var 8.758696Sum squared resid 598935.5 S.E. of regression 8.661234R-squared 0.022254 Adjusted R-squared 0.022131F(1,7984) 181.7164 P-value(F) 5.73e-41Log-likelihood −28571.28 Akaike criterion 57146.55Schwarz criterion 57160.52 Hannan-Quinn 57151.33
Use the above findings to answer the following questions:
A-Construct the 95% confidence interval of the estimatedintercept above.
B-Given your findings in part A above, is it safe to claim thatthe above estimated intercept is significant? Show all the requiredsteps.
(Statistical tables are attached if needed)https://lms.brocku.ca/access/content/at ... TABLES.pdf
PLaEASE GIVE A DETAILED ANSWER. WILL DEFINITELY GIVE ANUPVOTE.