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Relationship Explored. Explain the relationship that you are testing in this analysis?

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

 all questions: Answer each with a separate heading.

1)Relationship Explored. Explain the relationship that you are testing in this analysis? Why do you care about the outcome? Why did you choose the predictors that you chose? What would be the relevance of finding strong relationships between your outcome and predictors? How would be the relevance of finding no relationship between your outcome and predictors?

2)Data Source. Describe your data source. Where do the data come from? How many observations are in the set? Explain the study’s population and sampling scheme? How do you deal with concerns about missing data?

3)Univariate Descriptive Statistics. Using numerical and/or graphical summaries, describe the univariate distribution of your study’s variables? What is a normal? What is abnormally high or low? What is extreme?

4)Bivariate Descriptive Statistics. Using numerical and/or graphical summaries, describe the bivariate distribution of your study’s variables? What do you see? What were your expectations prior to regression analysis?

5)Regression Analysis. Run and interpret a regression. What did you find? Explain the results 6)Conclusion. What did you learn in this analysis? What implications do you draw from these findings? How will you do this?

I will explain: 1) Please go to https://sda.berkeley.edu/index.html and click on Archive. Scroll down to GSS and click on " (Abst) | General Social Survey (GSS) Cumulative Datafile 1972-2021 - release 1a (SDA 4) " 2)click on "Download custom subset" then click on "CSV" file under= the type of data file to create. Then click the select cases tab and insert= year(2016) then click on select variables tab and make sure to scroll down and click on the little arrow under "survey administrative variables" and only select variables "SAMPLING" and "WEIGHTS". those are mandatory.

but also for this analysis click on "respondent background varaibles" whichever makes sense(such as age, race, education, etc" and also variables on abortion to make an analysis. then once done selecting the variables you want to use please click on the "Create Files" tab and click on create files and then you will download the data file and codebook for those specific variables and analysis.

Then use survey RMD to use the survey package to make graphs/regressions analysis. Just run a few regressions with the topic of attitudes on abortion anything you can do with those variables and write on it and include only relevant tables/graphs/regressions like a thesis. 

 

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