MBA Business Statistics Practice Test 19
Multicollinearity Quiz PDF: Questions and Answers - 19
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Multicollinearity Questions and Answers PDF Download: Quiz 19
MCQ 91: Dropping the variable which is creating multicollinearity, is a mean to
- Identify multicollinearity
- Response multicollinearity
- Estimate multicollinearity
- Remove multicollinearity
MCQ 92: Computation of frequency distribution involves
- 4 steps
- 5 steps
- 7 steps
- 8 steps
MCQ 93: Gaussian distribution is also referred to as
- Standard distribution
- Normal distribution
- T-distribution
- F-distribution
MCQ 94: In any data set, the measure representing its central location is known to be
- Measure of mean point
- Measure of central point
- Measure of central location
- Measure of setrader
MCQ 95: In the OLS method, the assumption is based on the variability in the
- Slope coefficient
- Intercept
- Independent variable
- Dependent variable
Business Statistics Exam Prep Tests
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Business Statistics MCQs eBook Download
Business Statistics Practice Questions
- Confidence Intervals and Estimation Quiz
- Data Classification, Tabulation and Presentation Quiz
- Introduction to Probability Quiz
- Introduction to Statistics Quiz
- Measures of Central Tendency Quiz
- Measures of Dispersion Quiz
- Probability Distributions Quiz
- Sampling Distributions Quiz
- Skewness, Kurtosis and Moments Quiz
Business Statistics Practice Questions
- According to percentiles, the median to be measured must lie in
- Upper and lower boundaries of interval of confidence are classified as
- Number of products manufactured in a factory in a day are 3500
- Harmonic mean, arithmetic mean and geometric mean are all considered as
- According to empirical rule, the standard deviation and mean interval that covers
- Type of variable which can take fixed integer values is classified as
Multicollinearity Practice Tests
- Generated correlation between two variables expresses the
- Square root of sample variance results into
- Average value of any data set is known to be its
- In t-test, if df is greater than 20, α is equal to
- For testing of independence, the parameters used in chi-square distribution is observed value and
- For estimated sum of square for F-test, the degree of freedom provided is of