MBA Business Statistics MCQs – Practice Test 6 (Chapter 9)

Linear Regression Model MCQ with Answers PDF Download – Test 6

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Linear Regression Model MCQ – Practice Test 6 PDF Download

MCQ 26: In the model, if the tests for significance cannot be conducted, we cannot construct:

Regression line
Confidence interval
Confidence coefficient
Empirical analysis

MCQ 27: The assumption of constant variance of error term is also referred to as:

Assumption of multicollinearity
Assumption of homoscedasticity
Assumption of heteroscedasticity
Assumption of linearization

MCQ 28: Testing the statistical significance with appropriate level of significance in the B-P model is performed at:

Step 2
Step 3
Step 4
Step 4

MCQ 29: The number of observations for calculation of regression model must be:

Greater than number of parameters
Less than number of parameters
Greater than number of dependent variables
Less than number of dependent variables

MCQ 30: In the B-P test, the test of statistical significance is calculated by the means of:

Normal distribution
Chi-square distribution
F-distribution
T-distribution

Linear Regression Model MCQ App & e-Book – MBA Business Statistics Entrance Exam

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Linear Regression Model MCQs

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