1) A researcher has estimated the relationship between salaries of 100 selected employees of an organization (shown as "EARN" in $/hour) and their years ofeducation (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 1-100Dependent variable: EARNcoefficientstd. errort-ratiop-valueconst3.324181.002233.3170.0009***YRSEDUC0.4519310.033525513.485.73e-041 ***Mean dependent var 16.77115Sum squared resid 598935.5R-squaredS.D. dependent var 8.758696S.E. of regression 8.661234Adjusted R-squared 0.0221310.022254F(1, 7984)181.7164P-value(F)5.73e-41Log-likelihood-28571.28Akaike criterion57146.55Schwarz criterion 57160.52Hannan-Quinn57151.33Use 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.

The given intercept is 3.32418 the corresponding standard error is 1.00223.

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 Sum squared resid 598935.5 R-squared F(1, 7984) S.D. dependent var 8.758696 S.E. of regression 8.661234 Adjusted R-squared 0.022131 P-value(F) 0.022254 181.7164 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.

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 Sum squared resid 598935.5 R-squared F(1, 7984) S.D. dependent var 8.758696 S.E. of regression 8.661234 Adjusted R-squared 0.022131 P-value(F) 0.022254 181.7164 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.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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