I'm running an analysis about a dataset with three variables: Income, number of residents per residence and percentage of income spent on rent (response variable). What descriptive statistics should I use?
- Percentage of income spent on rent (continous (0,1))
- Income continous
- Number of residents per residence (discrete (1,2,3,4,5,6,7))
What I think:
- Scatter plot (variable response x independent variables)
- Histogram of income (with normal curve)
- Barplot of number of residents
- Mean, sd, etc for income
Make sense I do a boxplot of income percent spent with rent by number of residents? I ask it because I have only two observations where the number of residents is 7.
What more I can do?
EDIT: Is there any problem in using a histogram for a variable that represents some proportion? I want to show that this variable is asymmetric and heteroscedastic