if necessary please use the r code

Standardized residuals -___ Cook's dis1ance 0.00 0.02 Residuals vs Leverage 0.04 0.06 Leverage |m(v ~ X) 0.08 Residuals Residuals vs Fitted Scale-Location IQ E 9 E (D ID 5 O U P' B E (U E 2 ID '9 :5 C! O -5 0 5 Fitted values |m(y ~ X) Based on the linear regression diagnostic plots shown, which of the following assumptions of linear regression are not met ? (Choose all that apply) 'T' The variance of the residuals is not constant T The residuals are not normally distributed T All of the assumptions of linear regression are met \"7' There are influence points T Observations are not independent 'T' The association between X and Y is non-linear