Which of the following are the assumptions that underlie the classical linear regression model? Please select all that apply!Multiple select question.-The regression model given by y = β0 + β1x1 + β2x2 +... + βkxk + ɛ is linear in the parameters β0, β1,..., βk.-There is an exact linear relationship among the predictor variables; or, in statistical terminology, there is no perfect multicollinearity.-Conditional on x1, x2,.., xk, the error term ɛ is uncorrelated across observations; or, in statistical terminology, there is no serial correlation.-The error term ɛ is correlated with any of the predictor variables x1, x2,..., xk

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