Do not use the variable (Gender and sex) as your dummy variable

The goal of any analysis in statistics is to find the relationship between the variables. So as in project 3, in project 4 the independent variables should logically be the cause of your dependent variable. Come up with a simple theory. Then state the null and the research hypotheses, and then use the regression analysis to test your hypotheses. In project 4 you will have to choose the following 4 (not 6 as in example) variables: 1. One dependent and two independent variables measured at the interval-ratio level. 2. One independent variable measured at the nominal level (a dummy variable). Indicate the variable coding. 3. Indicate the exact name of all the variable as used in the GSS full data base both short name and the label. Also indicate the LOM and the unit of measurement of the variables. Don't forget to read the question the respondents were asked, so you know exactly what the variable measures. Then run multivariate regression and provide full regression analysis. When discussing the multivariate regression results (one dependent and many independent variables) talk only about r square [without mentioning the correlation coefficient (r)], and the regression coefficients (b's). Indicate which of them are significant and which are not. Constant coefficient (a) - intercept, when all independent variables are equal to zero, often has no meaning. For instance, you cannot have a person 0 years old who has family income. Please use any of the GSS full data sets. Pay attention the assignment is to use FULL GSS data set, NOT the student version with 50 variables. You should have used 2018 FULL data posted in Data folder on Canvas for your previous project already. Full GSS data for all the years (1972 - 2018) in SPSS format is available from http://gss.norc.or.g/get-the- data/spss Make sure that your project has all the parts listed below: . Indicate the Method of analysis used 2. Data indicate the name and the year of the data base used. 3. Theory/Model 4. Hypotheses state your hypotheses in words and indicate the expected direction of the relationship between the dependent and the independent variables. . Results interpretation . Conclusion ot SN W