MBA Business Statistics MCQs – Practice Test 2 (Chapter 9)

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Linear Regression Model MCQ – Practice Test 2 PDF Download

MCQ 6: The omitted variables causes increase of variance of observation from:

Explanatory line
Exploratory line
Regression line
Empirical line

MCQ 7: The variance of error terms in the regression model increases with increasing the values of:

Independent variable
Dependent variable
Slope coefficient
Constant terms

MCQ 8: The error term variable has a:

Normal distribution
Standerdized distribution
Frequency distribution
Relative distribution

MCQ 9: The OLS assumptions requires that the error of measurements may or may not be included in:

Dependent variable
Independent variable
Error term
Slope coefficient

MCQ 10: The regression predictions as a result of heteroscedasticity disturbance will be:

Efficient
Inefficient
Consistent
Inconsistent

MBA Business Statistics Notes App & e-Book – Linear Regression Model Exam Prep

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Linear Regression Model MCQs

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