Question 23Is the assumption of constant error variance (homoskedasticity) valid for Model 2? (Yes / No)

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

What do we assume when we fit a linear model? Select all that apply.Group of answer choicesσ2 = 0Independenceβ0 = β1 = 0Normality of errorsEquality of variance 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

Question 1You can examine Levene's test for homogeneity to more formally test which of the following assumptions?1 pointthe assumption of errors being normally distributedthe assumption of equal variancesthe assumption of independent observationsthe assumption of treatments being randomly assigned

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