I would like a quantitative data analysis essay in R coding. The project includes, choosinga dataset, research question, dependent variable, and independent variables and then answering the research question..The paper must include the R source code and be written as a knitr document (e.g., in RStudio). The paper must contain summary statistics, data visualisations, bivariate associations, hypothesis tests, but the mostimportantthing to have is a regression model as well as a discussion of the regression assumptions in the light of the data and model.The paper should broadly follow the style of a quantitative journal article, with the exception that you should focus on the analysis and explaining your analysis. It is not necessary to include a literature review.Approximately 2000 words, excluding references and R code.
The dataset should be selected from the UK data Service:https://ukdataservice.ac.uk/get-data/key-data/uk-survey-series.aspx . Any dataset can be chosen, EXCEPT the "Health Survey for England" which was used as an example in class. From that dataset, you have to choose a research question that you will answer using R.
The paper should outline what your research question is and what data you will use to address it. You will then go on to analyse your data. Your analysis should include:
•Summary statistics
•Data visualisations
•Bivariate associations
•Hypothesis tests
•Regression model
•A discussion of the regression assumptions and whether they are met•A summary of your findings
Note that the assignment is not about mindlessly churning out R output.