Question

5) If two variables (x and y) have a very strong linear relationship, it can be...

5)

If two variables (x and y) have a very strong linear relationship, it can be inferred that

a)

y causes a change in x

b)

A third variable causes changes in x and y

c)

x causes a change in y

d)

There cannot be any causal relationship between x and y

e)

None of the above

.
Social-Sciences   Psychology   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

(e) None of the above

This question is related to one of the disadvantages of correlational statistical tests. One of the important consequence of correlation is that it does not imply causation. According to the question, there is a strong linear relationship between the variables and this implies that there is a strong correlation. However, this does not imply that there is going to be a causal relationship between the variables.

Thanks
Hope I could help you
Please upvote the answer to show your support
Keep studying and learning

0 0
Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Log In

Sign Up

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A) Two variables have a high covariance. This means the two variables have a strong relationship....
A) Two variables have a high covariance. This means the two variables have a strong relationship. T/F B) For a variable x, the sample mean is 8 and the sample standard deviation is 2. One of the observations is 15. Is this observation an outlier? Group of answer choices Yes, the z-score is greater than 3 No, the z-score is between -3 and 3 Yes, the z-score is between -3 and 3 No, the z-score is less than -3 C)...
Correlation and regression are concerned with: a. the relationship between two qualitative variables b. the relationship...
Correlation and regression are concerned with: a. the relationship between two qualitative variables b. the relationship between two quantitative variables c. the relationship between a qualitative and quantitative variable d. none of the above e. all of the above
One of the major misconceptions about correlation is that a relationship between two variables means causation;...
One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other. What is one instance where you have seen correlation misinterpreted as causation? Please describe Can you help me understand how to answer this question
prior to run a regression a least squares line for variables x and y indicates the...
prior to run a regression a least squares line for variables x and y indicates the slope is 4 units at this point we can conclude variable x causes variable y to change there is a positive relaationship between variables x and y there may be a relationship between variables x and y there is no relationship between variables x and y x-n(100.3. P9x> 96) = 90.9 % 9.1% 80.2% 19.8%
Using the data given below, calculate the linear correlation between the two variables x and y....
Using the data given below, calculate the linear correlation between the two variables x and y. X 0 3 3 1 4 y 1 7 2 5 5 (a)        .794                 (b) .878            (c) .497            (d) .543 Refer to question 4. Assume you are using a 0.05 level of significance; is there a significant relationship between the two variables x and y? Yes                        (b) no The heights (in inches) and pulse rates (in beats per minutes) for a sample of 40...
Consider the following sample data for two variables. x = 16, 6,4,2 and Y= 5,11,6,8 a....
Consider the following sample data for two variables. x = 16, 6,4,2 and Y= 5,11,6,8 a. Calculate the sample covariance Sxy=  b. Calculate the sample correlation coefficient rxy= c. Describe the relationship between x and y. Choose the correct answer below. A. There is a positive linear relationship between x and y. B. There is no linear relationship between x and y. C. There is a perfect negative linear relationship between x and y. D. There is a perfect positive linear...
One of the major misconceptions about correlation is that a relationship between two variables means causation;...
One of the major misconceptions about correlation is that a relationship between two variables means causation; that is, one variable causes changes in the other variable. There is a particular tendency to make this causal error, when the two variables seem to be related to each other. What is one instance where you have seen correlation misinterpreted as causation? Please describe. an orginal post please
Which statement explains why correlation could be 0 even if a strong relationship between two variables...
Which statement explains why correlation could be 0 even if a strong relationship between two variables existed? Group of answer choices Since the correlation is 0, there is no strong relationship between the two variables; and a scatterplot would be misleading. Correlation can be 0 even if there is a strong linear relationship between the variables. Correlation only measures the strength of the relationship between two variables when the units of the two variables are the same. Correlation does not...
Suppose the correlation coefficient between two variables is found to be 0.83. Which of the following...
Suppose the correlation coefficient between two variables is found to be 0.83. Which of the following statements are true? small values of one variable are associated with large values of the other variable the relationship between the variables is weak a scatter plot of the points would show an upward trend low values of one variable tend to be paired with low values of the other variable there is a strong positive curvilinear relationship between the variables there is a...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT