D Question 21 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 + B2 . 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(> It|) (Intercept) 75.44 1. 603e400 47.068 Murder . Rate 0. 4146 6.061e-02 -6. 840 1.58e-08 ... Grad. Rate -0. 000621 1.630e-02 -0. 038 0.97 Income . Cap 0. 000109 2.499e-05 4. 361 7.24e-05 *> Signif. codes: 0 (**") 0.001 (*") 0.01 "* 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: 33,69 on 3 and 46 DF, p-value: 1.494e-11 California has a murder rate of 5.8, a graduation rate of 68% (i.e. 68), and a per-capita income of $35,352. Based on this information and the R output above, what life-expectancy would this model predict for California