Data Analysis Assignment

Using the LIWC2015 Dataset Generate basic statistics about the dataset using functions like "summary()", execute "mean()" and "sd()" on the Wordcount and WPS columns Find the columns with the least/greatest correlation Generate linear regression plots for the top 3 correlations you find Describe 2 predictions you might be able to make about the use of language in psychology textbooks over the next decade Create an R-Markdown of all your work, generate it to an HTML, PDF or MS Word document and submit the output Remember to include information ABOUT your configuration using functions like "sessionInfo()" as part of your R-Markdown Find and include definitions for Residuals vs Fitted, Normal Q-Q, Scale-Location, Residuals vs Leverage as part of your markdown before the plots. Are there any multiply correlated columns in the dataset - where 3 or even 4 columns track together with a strong correlation? Read the "help(lm)" file in RStudio for help and insight into how to accomplish this task in particular right after the "Details" section If R-Markdown is not working for you an acceptable alternative is for you to create a PowerPoint using screen-shots however this is a fallback option, NOT the preferred solution.