1) Data interpretation and comparison is easily accomplished with the use of bar graph in activity 2.2 governor’s salaries or per capita income can be compared by using a bar to depict differences or similarities with the height of each bar reflecting each state and income. Different shades or colors of each Bar can be used to rank from highest to lowest to allow multiple comparisons.
2) Histograms in a lot of cases can help interpretation in showing frequencies of data, it should be used when intervals or frequency is important, in activity 2.2 it can be used to show the difference in income between various states and the differences, it can be used to interpret governor’s salaries
3) The most appropriate graph to use in showing the relationship between per capita income in a state and the governor’s salary would be the Scatterplot; the governor’s salary may be paced on the vertical side while the per capita income is on the horizontal.
4) Scatterplot illustration of nine northeastern states:
Sevilla, A., & Somers, K. (2007).
5) The variable to use on the x axis is the per capita income because it is the independent variable the information is already there before we find out the governor’s salary.
6) The Y –axis would have the dependent variable which is the governor’s salary because it represents the outcome of what is being predicted based on the income of the residents of each state.
7) From the graph we can determine there is a positive correlation between the two variables, we show that there is a higher per capita income in the northeastern states which corresponds to a higher governor’s salary.
8) See Table below.
Figure [ 1 ]: (Sevilla, A., & Somers, K. (2007).
9) Scatterplot illustration using data on all 50 states:
Sevilla, A., & Somers, K. (2007).
A reasonable minimum value for x- would be 20000 and for the y – axis is 50000.
10) Although the trend to this data reflects a positive...