R2 Scale-Location0140002510-10-5Fitted valuesWhich 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 residuals0'00.40.81.2 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 FittedNormal Q-Q1401001400250,0 000-10-5-2-11Fitted valuesTheoretical QuantilesResiduals-3-11 2 3Standardized residuals-1

Name: R2 Scale-Location0140002510-10-5Fitted valuesWhich statement, or state
Uploaded: 2024-03-20T06:46:03.000Z
Channel: Bartleby
Description: R2 Scale-Location0140002510-10-5Fitted valuesWhich 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 fi