8.1 Correlation plots
Christopher Roberts
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?
Fireplaces, bedrooms, living area, rooms, bathrooms, land value, lot size, and pct college all have a positive correlation with home price.
Q2 What factors have strong positve correlation with home price?
Living area and bathrooms have a strong positive correlation with home price.
Q3 What factors have negative correlation with home price?
Age has a negative correlation with home price.
Q4 What factors have strong negative correlation with home price?
There are no factors with a strong negative correlation 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?
The two factors witht the highest positive Pearson Product-Moment correlation coefficient are Rooms and Living Area. The two factors with the greatest negative Pearson Product-Moment correlation coefficient are Bathrooms and Age.
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?
The two variables with the Pearson Product-Moment correlation coefficient closest to zero is Land Value and Age or Lot Size and Age. There is little linear correlation and little correlation anywhere else. 
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.
1. Education, age and experienece has positive correlation with wage. 2. There are no factors with a strong positive correlation with wage. 3. There are no factors with a negative correlation with wage. 4. There are no factors with a strong negative correlation with wage. 5. Age and experience have the highest positive Pearson Product-Moment correlation coefficient. Education and experience have the greatest negative Pearson Product-Moment correlation coefficient. 6. Wage and Experience have the Pearson Product-Moment correlation coefficient closest to zero. There is no visable correlation between the two variables. 
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.