After assessing the General Social Survey (GSS) dataset, the…

Question Answered step-by-step After assessing the General Social Survey (GSS) dataset, the… After assessing the General Social Survey (GSS) dataset, the research question that I came up with is do people with higher levels of education earn more money? The hypothesis (H1) is that individuals with higher levels of education do earn more than those who do not have that level of education. The null hypothesis (H0) is that there is no difference in pay between advanced education holders and those that have not attained that level of education. The coefficients for the model would be the estimated values for each of the independent variables. The dummy variable represents the difference between two groups. In this research scenario, it would be participants with higher levels of education and those with lower levels of education. The coefficients show that people with higher levels of education earn more annually than those with a lower level of education. The findings of the study do support the hypothesis, consequently rejecting the null hypothesis. Run diagnostics for the regression model. Does the model meet all of the assumptions? Be sure and comment on what assumptions were not met and the possible implications. Is there any possible remedy for one the assumption violations?Please  list steps for spss.  Social Science Psychology RSCH 8210 Share QuestionEmailCopy link Comments (0)