Correlation is a statistical tool that shows the association between two variables. Regression, on the other hand, evaluates the relationship between an independent and a dependent variable. Below is a list of multiple-choice questions and answers on Correlation and Regression to understand the topic better. Answer: d Answer: c
- It is a bivariate analysis
- It is a multivariate analysis
- It is a univariate analysis
- Both a and c
Answer: c
- The correlation is said to be non-linear
- The correlation is said to be linear
- The correlation is said to be negative
- The correlation is said to be positive
Answer: d
- The correlation is said to be linear
- The correlation is said to be non-linear
- The correlation is said to be positive
- The correlation is said to be negative
Answer: d
- Standard error
- Correlation
- Regression
- None of the above
Answer: c
- It is less than the correlation coefficient
- It is equal to the correlation coefficient
- It is greater than or equal to the correlation coefficient
- It is greater than the correlation coefficient
Answer: d
- It is a significant estimation of the problem
- It is a rule for acceptance or rejection of the hypothesis of the research problem
- It is a method of making a significant statement
- None of the above
Answer: b
- Any wrong decision related to the null hypothesis results in two types of errors
- Any wrong decision related to the null hypothesis results in one type of an error
- Any wrong decision related to the null hypothesis results in four types of errors
- Any wrong decision related to the null hypothesis results in three types of errors
Answer: a
- Type two error means to accept an incorrect hypothesis
- Type two error means to reject an incorrect hypothesis
- Type two error means to accept a correct hypothesis
- Type two error means to reject a correct hypothesis
Answer: a
- In testing a hypothesis, we take the level of significance as 2% if it is not mentioned earlier
- In testing a hypothesis, we take the level of significance as 1% if it is not mentioned earlier
- In testing a hypothesis, we take the level of significance as 10% if it is not mentioned earlier
- In testing a hypothesis, we take the level of significance as 5% if it is not mentioned earlier
Answer: a
- Linear regression analysis
- Multiple regression analysis
- Non-linear regression analysis
- None of the above
Answer: a
- A regression line is also known as the line of the average relationship
- A regression line is also known as the estimating equation
- A regression line is also known as the prediction equation
- All of the above
Answer: d
- The correlational analysis between two sets of data is known as a simple correlation
- The correlational analysis between two sets of data is known as multiple correlation
- The correlational analysis between two sets of data is known as partial correlation
- None of the above
Answer: a
- Alternate hypothesis
- Null hypothesis
- Both a and b are incorrect
- Both a and b are correct
Answer: b
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