MBA Business Statistics Practice Test 78
Regression Model and Regression Equation MCQ (Multiple Choice Questions) PDF - 78
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The MCQs: In multiple regression analysis, estimation is not possible incase of; "Regression Model and Regression Equation" App Download (iOS & Android) Free with answers multicollinearity, high standard error, low standard error and high coefficient of determination to learn online classes courses. Practice multiple regression model questions and answers, Google eBook to download free sample .
Regression Model and Regression Equation Questions and Answers PDF Download: Quiz 78
MCQ 386: In multiple regression analysis, estimation is not possible incase of
- High standard error
- Multicollinearity
- Low standard error
- High Coefficient of determination
MCQ 387: VIF stands for
- Variance Inflation factor
- Variance Intercept factor
- Variance Interpolation factor
- Variance Intermediate factor
MCQ 388: The middle value of any data set after arranging data in some order is known to be its
- Central point
- Mean
- Mode
- Median
MCQ 389: The likelihood of committing a type 1 error is a direct function of where we set
- Mean
- Sample variance
- Population variance
- Alpha level
MCQ 390: F-distribution reaches, but never touches the
- Horizontal axis
- Vertical axis
- Level of significance
- Level of insignificance
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Business Statistics Practice Questions
Business Statistics Practice Questions
- Approach in probability in which all outcomes from an experiment are equally
- In the graphical representation of data, the ideographs are also called as
- In the normal distribution, the z-score and z-statistic are classified as names of
- If the median is 18, coefficient of skewness is 6 and the
- If the value of three measures of central tendencies median, mean and
- Average deviation measures and distance measures are classified as measures of dispersion on the basis of
Regression Model and Regression Equation Practice Tests
- Sampling technique in which data is collected randomly through some clusters derived
- Heteroscedasticity arises from violating the assumption of
- A measure of the covariability of variables is known as
- 1st Quarter (Q1) is known to be the quartile of
- In chow test, the degree of freedom for restricted residual sum of square is set as
- Expected value of error term in the ordinary least square method should be