In the linear model yi = β0 + β1xi + εi, εi is called the:Multiple choice question.regression coefficient.independent variable.dependent variable.error.

In the linear model yi = β0 + β1xi + εi, εi is called the:Multiple choice question.regression coefficient.independent variable.dependent variable.error.

In the linear model yi = β0 + β1xi + εi, yi is called the Blank______ variable.Multiple choice question.errorindependentdependent

Derive the maximum likelihood estimator for b = (b0, b1)T and σ2 under the model Yi = b0 + b1Xi1 + εi, where ε1, ..., εn are independent and εi ∼ N (0, σ2X2 ).

In order to determine whether the coefficient in a simple linear regression model is significant or not, which null hypothesis do we propose?β0=0β0≠0β1=0β1≠0

The investee company in a long-term investment with controlling interest is called the:Multiple ChoiceOwner.Subsidiary.Parent.Creditor.Senior entity.