Estimate a linear model of Points as a function of???????,??????,??????, ?????????, and?????????,

Which variables are statistically significant? How would you interpret the statistically significant parameters (ignoring the intercept)? [When you are providing parameter interpretation, please don't use variable After reading about the game, which of this is surprising to you?

lm(formula = Points ~ Assists + Steals + Blocks + Turnovers + PersFouls)

Lm(formula = Points ~ Assists + Steals + Blocks + Turnovers + PersFouls, data = module5hw) Residuals : Min 10 Median 30 Max -10. 1221 -1. 8819 -0.2093 1. 7738 11.5248 Coefficients: Estimate Std. Error t value Pr(>Itl) (Intercept) 0. 6189 0. 4287 1.444 0. 14952 Assists -0. 1402 0. 1813 -0. 774 0. 43951 Steals 2. 3035 0. 5150 4.472 9. 86e-06 *** Blocks 1. 3466 0. 4725 2. 850 0. 00458 * * Turnovers 5.0822 0. 4487 11. 328 Itl) (Intercept) 0.611123 0. 417147 1.465 0. 144 Assists -0. 009886 0. 178270 -0.055 0. 956 Steals 2. 320752 0. 501220 4. 630 4.82e-06 ** * Blocks -0. 042325 0. 535605 -0.079 0.937 Turnovers 4.503777 0. 451335 9. 979