Which of the following is not true with respect to the residuals in a least squares linear regression? 1. The expected value of the residuals is 0. 2. If the residuals are larger for large values of x and smaller for small values of x then the model is an adequate representation of the linear relationship between x and y. 3. The value of the residual is negative when the observed value of y is smaller than the predicted value Solution ans) 2. If the residuals are larger for large values of x and smaller for small values of x then the model is an adequate representation of the linear relationship between x and y. If the model is an adequate fit, then the residual values do not get larger as the x values get larger. The residual value is larger only if the predicted outcome is further away from the observed outcome..