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 areas, rooms, bathrooms, land value, pctcollege, and lot size
Q2 What factors have strong positve correlation with home price?
living area, bathrooms, land value
Q3 What factors have negative correlation with home price?
age
Q4 What factors have strong negative correlation with home price?
age
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?
rooms and living area
Q7 Plot correlation for CPS85 in the same way as above. Repeat Q1-Q6.

Q8 What factors have positve correlation
age/experience, age/wage, wage/experience, wage/education
Q9 What factors have strong positve correlation?
age/experience
Q10 What factors have negative correlation?
age/education, experience/education
Q11 What factors have strong negative correlation?
experience/education
Q12 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?
age/experience. There is strong linear correlation on the scatterplot.

Q14 Hide the messages, the code and its results on the webpage.
Q15 Display the title and your name correctly at the top of the webpage.
Q16 Use the correct slug.