Scale-Location 014 00 025 10 -10 -5 Fitted values Which statement, or statements, below is/are correct with regard to this output? 1. There is strong evidence that the variance of the residuals is not...

R2

Extracted text: Scale-Location 014 00 025 10 -10 -5 Fitted values Which statement, or statements, below is/are correct with regard to this output? 1. There is strong evidence that the variance of the residuals is not constant and that their variance increases at larger fitted values. 2. There is strong evidence that the variance of the residuals is not constant and that their variance decreases at larger fitted values. 3. There is strong evidence that the distribution of the residuals is non-normal and skewed to the right (positive skew). 4. There is strong evidence that the distribution of the residuals is non-normal and skewed to the left (negative skew). 5. There is strong evidence of a non-linear, accelerating relationship between the response variable and the predictor variable. 6. There is strong evidence of a non-linear, decelerating relationship between the response variable and the predictor variable. 7. The diagnostic plots indicate that the normality, linearity and variance assumptions of the linear regression model are all satisfied. VIStandardized residuals 0'0 0.4 0.8 1.2


Extracted text: A linear regression was fitted in R (of the form Y = a + bX) and the following regression diagnostic plots were produced from the fitted model: Residuals vs Fitted Normal Q-Q 140 100 140 025 0,0 000 -10 -5 -2 -1 1 Fitted values Theoretical Quantiles Residuals -3 -1 1 2 3 Standardized residuals -1