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.
You are viewing: Which Of The Following Is True About Correlation
- Which of the following are types of correlation?
- Positive and Negative
- Simple, Partial and Multiple
- Linear and Nonlinear
- All of the above
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Answer: d
Which of the following is true for the coefficient of correlation?
- The coefficient of correlation is not dependent on the change of scale
- The coefficient of correlation is not dependent on the change of origin
- The coefficient of correlation is not dependent on both the change of scale and change of origin
- None of the above
Answer: c
Which of the following statements is true for correlation analysis?
- It is a bivariate analysis
- It is a multivariate analysis
- It is a univariate analysis
- Both a and c
Answer: c
If the values of two variables move in the same direction, ___________
- 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
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Answer: d
If the values of two variables move in the opposite direction, ___________
- 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
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Answer: d
Which of the following techniques is an analysis of the relationship between two variables to help provide the prediction mechanism?
- Standard error
- Correlation
- Regression
- None of the above
Answer: c
Which of the following statements is true about the arithmetic mean of two regression coefficients?
- 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
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Answer: d
What is the meaning of the testing of the hypothesis?
- 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
Which of the following statements is true about the null hypothesis?
- 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
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Answer: a
Which of the following statements is true about the type two error?
- 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
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Answer: a
Which of the following statements is true about the level of significance?
- 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
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Answer: a
The independent variable is used to explain the dependent variable in ________.
- Linear regression analysis
- Multiple regression analysis
- Non-linear regression analysis
- None of the above
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Answer: a
Which of the following statements is true about the regression line?
- 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
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Answer: d
Which of the following statements is true about the correlational analysis between two sets of data?
- 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
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Answer: a
The original hypothesis is known as ______.
- Alternate hypothesis
- Null hypothesis
- Both a and b are incorrect
- Both a and b are correct
Answer: b
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Category: WHICH