1. Use the NES2004AStudent dataset and analyze the impact of AGE on BUSH_THERM. Make sure to include SPSS output tables. (Highlight the significance level and write the confidence level next to the number. Answer if the relationship is significant. The discussion of the substantive interpretation of the slope coefficient should be written down below the table. Highlight the adjusted R2 and write your interpretation next to it. No manual calculation is required.)
*Visit the course web page and find an example of SPSS output:
2. Use the NES2004BStudent dataset and analyze the impact of AGE on DEM_THERM after controlling for GAY_THERM, RACE_2 and GENDER. Make sure to include SPSS output tables. (Make sure to discuss the significance level of the "main" independent variable and the slope coefficient. No bivariate analysis is necessary. No manual calculation is required.)
3. SPSS and Excel
Use the following data and complete the following:
a) Estimate the slope coefficient and the intercept using SPSS. Attach the SPSS output.
b) Interpret the slope coefficient and the significance level using the SPSS output. What is your conclusion?
c) Estimate the slope coefficient and the intercept manually. Use excel to complete the calculation and attach the sheet.
Do not include any unnecessary or wrong SPSS output.