8.1 Correlation plots

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, landvalue, pcs college, lotsize

Q2 What factors have strong positve correlation with home price?

living area, bathrooms

Q3 What factors have negative correlation with home price?

age

Q4 What factors have strong negative correlation with home price?

there are no strong negative coorelation

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?

livingarea and room for positive coorelation, age and bathrooms for negative coorelation

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?

lotsize and age and also landvalue and age are the two variables closest to zero for coorelation

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. exper, age, educ
2. none
3. none
4. none 5)age and exper have the highest positive coorelation, and educ and exper have the greatest negative coorelation
5. wage and exper are the closest coorelation to zero

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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.