Question 23 2 pts A researcher is interested in trying to predict the average life-expectancy (in years) in different states. This researcher builds a model with three predictors: Murder.Rate (murders per 1000 people per year), Grad. Rate (the percentage, as a whole number, of students who graduate from high school, e.g. 53% is entered as 53, not .53) and Income.Cap (the per capita income in the state). The equation for this model is: Life. Exp = Bo + B1 . Murder. Rate + 82 . Grad. Rate + B3 . Income. Cap The R output for this model is: Call: Im(formula = Life. Exp ~ Murder . Rate + Grad. Rate + Income . Cap, data = states) Residuals: Min 10 Median 30 Max -1. 90524 -0. 47415 0.01008 0. 46384 1.75686 Coefficients: Estimate Std. Error t value Pr(> [t| ) (Intercept ) 75. 44 1. 603e+00 47.068 ' 0.05 '. ' 0.1 ' 1 Residual standard error: 0.8106 on 46 degrees of freedom Multiple R-squared: 0.6834, Adjusted R-squared: 0.6627 F-statistic: 33.09 on 3 and 46 DF, p-value: 1.494e-11 Which one of the coefficients is not significantly different from zero, implying that it could possibly be dropped from the model? Income.Cap O (Intercept) Murder. Rate O Grad. Rate O