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?

bathrooms has a positive correlation with home price. it is the highest one with a .6, all but one are all positive except for age which is -.19 making it negitive

Q2 What factors have strong positve correlation with home price?

bathrooms has the strongest with 0.6 ## Q3 What factors have negative correlation with home price? age has the least -.19 ## Q4 What factors have strong negative correlation with home price? there is no strong correlation with 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? .73 is the best and strongest correlation on the this chart. ## 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.

Q9 Display the title and your name correctly at the top of the webpage.

Q10 Use the correct slug.