Which assumption is NOT made by Linear Regression?Answer areaLinearity of relationshipsIndependence of errorsHomoscedasticityData follows a normal distribution

Which of the following is NOT possible assumption for carrying out linear regression? A. Linearity B. Normality of errors C. Inequality of variance D. Independence of error

Which of the following is an assumption of linear regression?  Independence of errors   All of the above   Linearity between independent and dependent variables

The assumption of regression which requires that the variance of the errors is constant for all values of the independent variable(s) is:A.Equal variance or homoscedasticityB.LinearityC.NormalityD.Independence of errors

Question 11 MarkWhich assumption of linear regression implies that the relationship between the independent and dependent variables is a straight line?Answer choicesSelect only one optionREVISITLinearityHomoscedasticityNormality of residualsIndependence of residuals0/10 questions attempted

A simple linear regression model was fitted to two variables: Y, the response variable and X, the explanatory variable.A scatter plot of Y versus X as well as the residual plot after fitting the least squares regression line to the data are given below.Which ONE of the following statements regarding the assumptions for this simple linear regression is FALSE?Group of answer choicesThere are two outliers from the general trend.TThe observation with the largest value of x is likely to have a large effect on the position of the fitted line.Two of the observations have unusual y values given their x values.Two of the observations are outliers in x.There are doubts about the Normality of the errors due to the presence of one or more outliers.