4) can i please get help with this question 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-squaredF(1, 7984)Log-likelihoodS.D. dependent var 8.758696S.E. of regression 8.661234Adjusted R-squared 0.022131P-value(F)0.022254181.71645.73e-41-28571.28Akaike criterion57146.55Schwarz criterion 57160.52Hannan-Quinn57151.33Use the above findings to answer the following questions:A-Given the above estimated outcome, test to verify if the regression intercept is significant. Use a two-sided p-value statistical approach, and show all therequired steps.B-What happens to your finding in part A above, if the level of significant is decreased to 1%?

A. Let the intercept be denoted by B0 Step 1: Form Null and Alternative Hypothesis Null Hypothesis :…

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 3.32418 1.00223 3.317 0.0009 const *** 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 Schwarz criterion 57160.52 -28571.28 Akaike criterion 57146.55 Hannan-Quinn 57151.33 Jse the above findings to answer the following questions: 4-Given the above estimated outcome, test to verify if the regression intercept is significant. Use a two-sided p-value statistical approach, and show all the required steps. 3-What happens to your finding in part A above, if the level of significant is decreased to 1%?

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 3.32418 1.00223 3.317 0.0009 const * 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 Schwarz criterion 57160.52 -28571.28 Akaike criterion 57146.55 Hannan-Quinn 57151.33 Jse the above findings to answer the following questions: 4-Given the above estimated outcome, test to verify if the regression intercept is significant. Use a two-sided p-value statistical approach, and show all the required steps. 3-What happens to your finding in part A above, if the level of significant is decreased to 1%?

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)

14th Edition

ISBN:9781305506381

Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Publisher:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris

Chapter4A: Problems In Applying The Linear Regression Model

Section: Chapter Questions

Problem 1E

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