FEQ20. The R code is an analysis of whether or not there is a relationship between total weight (variable name: wt, units: Ibs) and gas milage (variable name mpg, units: miles per gallon) based on data from a sample of 32 models of car from the early 1970's: > r summary(r) Call: Im(formula = mpg ~ wt, data = mtcars) Residuals: Min 1Q Median 3Q Max -4.5432 -2.3647 -0.1252 1.4096 6.8727 Coefficients: Estimate Std. Error t value Pr(> It]) (Intercept) 37.2851 1.8776 19.858 0.01 '* 0.05 0.1"1 Residual standard error: 3.046 on 30 degrees of freedom Multiple R-squared: 0.7528, Adjusted R-squared: 0.7446 F-statistic: 91.38 on 1 and 30 DF, p-value: 1.294e-10 The R output includes a t statistic that is equal to -9.559. What is the alternative hypothesis associated with this t statistic? alpha =/= 0 beta =/= 0 beta