8.1 Correlation plots
Riley Williams
10/8/2019
In this exercise you will learn to visualize the pairwise relationships between a set of quantitative variables. To this end, you will make your own note of 8.1 Correlation plots from Data Visualization with R.
Q1 What factors have positve correlation with home price?
Some factors that postively correlate with home price is everything from landvalue and down. Some example of those factors are fireplaces, living areas and bed rooms. ## Q2 What factors have strong positve correlation with home price? Living area and bedrooms have strong postive correlations with home price.
Q3 What factors have negative correlation with home price?
pctCollege and lotsize are factors that have negative correlations.
Q4 What factors have strong negative correlation with home price?
bathrooms, price, living area and fireplaces are factors that have strong negative correlations with home price.
Q5 What set of two variables has the highest positive Pearson Product-Moment correlation coefficient? What set of two variables has the greatest negative Pearson Product-Moment correlation coefficient?
Bathrooms and price have the greatest negative correlations coeffiecient.
Q6 What set of two variables has the Pearson Product-Moment correlation coefficent that is closest to zero? Would you be sure that the two variables are not related at all? What would you do to check?
Q7 Plot correlation for CPS85 in the same way as above. Repeat Q1-Q6.
Hint: The CPS85 data set is from the mosaicData package. Explain wage instead of home price.
Q8 Hide the messages, the code and its results on the webpage.
Hint: Use message, echo and results in the chunk options. Refer to the RMarkdown Reference Guide.