8.1 Correlation plots
Addison Andronaco
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?
The more fireplaces a home has the more expensive it is. All the factors in red have a positive correclation with home price.
Q2 What factors have strong positve correlation with home price?
The factors in dark red or with a correlation factor over .6 have a strong positive correlation with home price. Such as bathrooms.
Q3 What factors have negative correlation with home price?
Factors in blue or with a negatice correlation factor are negativly correlated with home price. Only age has a negative correlation with home price.
Q4 What factors have strong negative correlation with home price?
There are no factors that have 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?
Living area and number of rooms has the highest positive correlation coefficient with a factor of .73. The strongest negaitve correlation coeeficitent is 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?
Land value and age has the correlation coefficient to zero. We made a scatterplot to check, and they are not related non linearly either. 
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. experience,age,education 2. none have strong positive correlation 3. No factors have negative correlation with wage 4. No factors have strong negative correlation 5. highest positive correlation coefficient: age and experience. Highest negative correlation coefficient: education and experience. 6. correlation coefficient closest to zero: wage and experience. ## 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.