Question:

A researcher has estimated the relationship between salaries of 100 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 of significance (numbers are made up): Model 1: OLS, using observations 1-100 Dependent 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 8.758696 Sum squared resid 598935.5 S.E. of regression 8.661234 R-squared 0.022254 Adjusted R-squared 0.022131 F(1, 7984) 181.7164 P-value(F) 5.73e-41 Log-likelihood -28571.28 Akaike criterion 57146.55 Schwarz criterion 57160.52 Hannan-Quinn 57151.33 Use the above findings to answer the following questions: A-Construct the 95% confidence interval of the estimated intercept above. B-Given your findings in part A above, is it safe to claim that the above estimated intercept is significant? Show all the required steps