I'm having difficulty reading these results:

I know the slope coefficient is: -5.3445

I am having trouble discussing the results of the information below.

#Q2 > #For data(mtcars) from the datsets package and fit the > #regression model with the mpg as the outcome and > #weight as the predictor. Give the slope coefficient. > > data ( mtcars ) > q2 <- lm( mpg ~ wt, mtcars) > q2 %>% + summary()

Call: lm(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(>|t|) (Intercept) 37.2851 1.8776 19.858 < 2e-16 *** wt -5.3445 0.5591 -9.559 1.29e-10 *** --- Signif. codes: 0 '***' 0.001 '**' 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