Life Expectancy Murder rate 74.4 7.6 77.1 4.1 77.5 5.3 75.1 5.7 78.2 5.8 78.2 3.2 78.7 3.5 76.8 6.5 77.5 6.4 75.3 6.6 80 1.9 77.9 1.5 76.4 6.1 76.1 5.1 78.3 2.5 77.3 4 75.2 4.6 74.2 11.9 77.6 2.4 76.3 8.8 78.4 2.6 76.3 5.4 78.8 2.1 73.6 8.1 75.9 7.7 77.2 2.4 77.8 3.8 75.8 6.3 78.3 1 77.5 43 77 7.2 77.7 43 75.8 6.5 78.3 0.5 76.2 4.7 75.2 5.8 77.8 2.2 76.7 5.6 78.3 2.8 74.8 6.8 77.7 3.2 75.1 6.6 76.7 5.6 78.7 1.4 78.2 2.7 76.8 4.7 78.2 2.9 75.1 3.3 77.9 2.6 76.7 1.9The data on life expectancy {response variable} and murder rate per 100.000 citizens {explanatory variable} of 50 states in US is given in the Excel le {tab \"Question 5\"). a. Obtain a graphical presentation and from the graph. comments on the relationship between the two variables b. A simple linear regression model is applied to predict life expectancy from murder rate per 100.000 citizens. Clearly state the model with all the necessary assumptions. c. Based on the given data: and using either SAS or R. report the predictcd model. d. Obtain the AN OVA table. e. Report the proportion of variations not explained by the simple linear regrulion model. f. Based on the answer in part {e}. do you think the simple linear regrulion model is a good model? TWhy or why not? g. Interpret fin. and 1'31 obtained in part {c} in the context of this