e. A “Results” section consisting of three paragraphs. The first paragraph should describe the data used, should include the initial regression model (All Variables) in Table 1. The second paragraph should describe the final regression model, introduce Table 2, summarize the main results regarding the significance of the individual independent variables, and state r2 for this regression. The third paragraph should introduce Figures 1 and 2 and summarize the main observations from these figures. (5%)
The initial regression illustrates that many varies of death cause are increase. For example, child mortality rate, motor vehicle crash rate (MV mortality rate), poor or fair health, smokers, teen birth rate, single-parent households, and low birth weight. However, there are only three varies of health issues are decrease such as frequent mental distress, adult obesity, and Chlamydia rate.
After chose the death cause which have p-value less than 0.5, so I have got three varies of health causes left. This shows in final multiple linear regression (step 4). The first is child mortality rate. This cause shows the growing up of numbers. Moreover, there is another cause of death which has increasing in numbers is smokers. In the other hand, the numbers of percentage of frequent mental distress are dumping. The output of “R square” is between “0-1” and more than 0.5, and “multiple R” more than 0.75. In addition, the output displays “R square” has more value than “adjusted R square” that means the sample size is appropriate.
The graphs show residual plot of each death causes. For instance, child mortality rate, smokers, and frequent mental distress. Having more clearly vision by graphs that could explain changing distribution in numbers of each factors.