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

The assumption in statistics that the error term (the difference between the observed value of a variable and its predicted value) has the same variance across all levels of the independent variable(s) is referred to as __________.1 pointLinearityNormalityHomoesedasticitySphericity

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

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

the linearity assumptionthe independence assumptionboth the linearity and the independence assumptionsthe equal variance assumptionboth the linearity and the equal variance assumptions

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