Question

Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when...

Which of the following is FALSE about Correlations:

We can use the Pearson Correlation Coefficient when both variables are measured on an interval or ratio scale

A correlation examines the relation between two variables

The Pearson Correlation Coefficient describes the relation between two variables in terms of the strength and direction of the relationship.

A correlation implies causation

0 0
Add a comment Improve this question Transcribed image text
Answer #1

Solution:

We have to identify the FALSE statement.

Answer is

A correlation implies causation

It is not true. The correlation does not implies causation.

Causation means cause and effect relationship . In this , we can say that which variable is cause and which variable is effect.

But , in correlation we just measure the strength and direction of linear relationship. We cannot say which variable is cause and which is effect.

Answer is

A correlation implies causation

Add a comment
Know the answer?
Add Answer to:
Which of the following is FALSE about Correlations: We can use the Pearson Correlation Coefficient when...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • the pearson product-moment correlation coefficient, r, requires that variables are measured with? a. interval scale b....

    the pearson product-moment correlation coefficient, r, requires that variables are measured with? a. interval scale b. ratio scale c. ordinal scale d. a or b

  • Which of the following is false? Correlation coefficient and the slope always have the same sign...

    Which of the following is false? Correlation coefficient and the slope always have the same sign (positive or negative). If the correlation coefficient is 1, then the slope must be 1 as well. Correlation measures the strength of linear association between two numerical variables. If the correlation between two variables is close to 0.01, then there is a very weak linear relation between them.

  • Q7. What is the coefficient of determination? Q11. State which correlation coefficient (Pearson, ...

    Q7. What is the coefficient of determination? Q11. State which correlation coefficient (Pearson, Spearman, point-biserial, or phi) should be used given the following information. Both factors are interval or ratio scale. Both factors are ranked. One factor is dichotomous, and the other factor is continuous. Both factors are dichotomous. Q13. State whether each of the following is an example of a positive correlation or a negative correlation. Higher education level is associated with a larger annual income. Increased testosterone is...

  • Determine whether each of the following statements regarding the correlation coefficient is true or false. The...

    Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.

  • Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By...

    Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...

  • Determine if the following statement is true or false. A correlation coefficient close to 1 is...

    Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...

  • Which of the following is the null hypothesis when you use the correlation coefficient? a. rho...

    Which of the following is the null hypothesis when you use the correlation coefficient? a. rho = 0 b. there is a relationship between the two variables c. there is not a null hypothesis when you test the significance of r. d. The correlation will not be negative

  • 1. The Pearson’s correlation is used to test a relationship between two variables___________. A. if a...

    1. The Pearson’s correlation is used to test a relationship between two variables___________. A. if a non-linear relationship is tested. B. if a linear relationship is tested. C. if both variables are continuous (i.e., are measured on an interval or ratio scale). D. if both variables are measured on a nominal scale. E. A & D F. B & C 2. A researcher found a Pearson correlation of r = - 0.28 between self-reported stress level and intensity of physical...

  • 4) Which of the following statements regarding the correlation coefficient is not true?

    Which of the following statements regarding the correlation coefficient is not true? A) The correlation coefficient has values that range from-1.0 to 1.0 inclusive. B) The correlation coefficient measures the strength of the linear relationship between two numerical variables C) A value of 0.00 indicates that two variables are perfectly linearly correlated D) All of these are true statements

  • correlation measures the degree to which two variables are related to one another. Here are the...

    correlation measures the degree to which two variables are related to one another. Here are the definitions of the three possibilities: Positive correlations: In this type of correlation, both variables increase or decrease at the same time. A correlation coefficient close to +1.00 indicates a strong positive correlation. Negative correlations: This type of correlation indicates that as the amount of one variable increases, the other decreases (and vice versa). A correlation coefficient close to -1.00 indicates a strong negative correlation....

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT