In the below gure] a residuals versus ts plot is shown for a linear regression analysis. Residuals vs Fitted 105 2000 3000 l l Residuals 1000 I U I -1000 -2000 l 0 2000 4000 6000 80 00 Fitted values lmlv " X) Based on the above plot] which of the below statements is true? Select one: A a. The residuals versus ts plot shows no evidence of linear regression model violations \" b. In the residuals versus ts plot we see clear evidence that the normality assumption has been violated \" c. In the residuals versus ts plot we see clear signs of tanning, indicating nonconstant error variance \" d. In the residuals versus ts plot we see clear signs of fanning, suggesting that the model is nonlinear \" e. In the residuals versus ts plot we see a clear relationship between the residuals and ts, indicating non-constant error variance \" f. In the residuals versus ts plot we see a clear relationship between the residuals and ts suggesting that a linear model is not appropriate