Question: We've developed a multiple regression model for predicting life expectancy (y), based on miles run per month 798d4f9e426ea4f4e60e61191341f94e(3).png and fast food meals per week 1fd96d55a6b5fb9916f73db5dc04e91f(3).png.

We've developed a multiple regression model for predicting life expectancy (y), based on miles run per month 798d4f9e426ea4f4e60e61191341f94e(3).png and fast food meals per week 1fd96d55a6b5fb9916f73db5dc04e91f(3).png. Our prediction equation is y with hat on top equals space 62 space plus space 0.2 space x subscript 1 space space minus space 1.5 space x subscript 2 The table below summarizes our results. Using the usual alpha value, which variables are significant? coefficient t statistic significance constant 62 8.5 0.000 miles run 0.2 1.25 0.230 fast food meals -1.5 -0.42 0.680 Group of answer choices Both miles run and fast food meals are statistically significant. Miles run is statistically significant, but fast food meals is not. Fast food meals is statistically significant, but miles run is not. Neither miles run nor fast food meals are statistically significant

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