In a survey analysis, a user uses Linear regression, which includes five key assumptions. What are they?Select an option Clear ResponseThe five assumptions are:>Linear relationship>No Multivariate normality>Multicollinearity>auto-correlation>HomoscedasticityThe five assumptions are:>Linear relationship>Multivariate normality>No or little multicollinearity>No auto-correlation>HomoscedasticityThe five assumptions are:>Linear relationship>No Multivariate normality>Little Multicollinearity>No auto-correlation>No HomoscedasticityThe five assumptions are:>Linear relationship>Multivariate normality>Little multicollinearity>No auto-correlation>No Homoscedasticity

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 assumptions for a linear programming model include all of the following EXCEPTGroup of answer choicesproportionality.divisibility.variables are continuous.normality.

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

What other conditions, in addition to normality, must be satisfied for the linear model to be valid?Choose ONE option.All expected counts are at least 5, representative, paired.Independence, equal spread and linearity.Paired, linearity and independence.Sample size at least 30, representative and linearity.