Question

If the correlation coefficient is close to 0, can you conclude the 2 variables have no...

If the correlation coefficient is close to 0, can you conclude the 2 variables have no relation? Explain your answer

Homework Answers

Answer #1

A correlation coefficient is a numerical measure of some type of correlation, meaning a statistical relationship between two variables.

Correlation coefficient is used in measuring strength of relationship between two variables.

Positive correlation is relationship between two variables in which both variables move in tandem i.e., in same direction.

Negative correlation or inverse correlation is relationship between two variables whereby they move in opposite directions.

A value of zero correlation coefficient indicates that there is no relationship between the two variables , i.e., change in one's value has no effect on the other.

P.S. (please upvote if you find the answer satisfactory)

Know the answer?
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
Similar Questions
If the correlation between two variables is close to 0, you can conclude that a scatterplot...
If the correlation between two variables is close to 0, you can conclude that a scatterplot would show (a) a strong straight-line pattern. (b) a cloud of points with no visible pattern. (c) no strainght-line pattern but there might be a strong pattern of another form.
What can you say about the relation between the 2 variables if the correlation coefficient is...
What can you say about the relation between the 2 variables if the correlation coefficient is .95?
The variables height and weight could reasonably be expected to have a positive linear correlation coefficient,...
The variables height and weight could reasonably be expected to have a positive linear correlation coefficient, since taller people tend to be heavier, on average, than shorter people. Give an example of a pair of variables which you would expect to have a negative linear correlation coefficient and explain why. Then give an example of a pair of variables whose linear correlation coefficient is likely to be close to zero.
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase...
When you are presented with a Pearson’s correlation coefficient between two variables for which an increase in one predicts a decrease in the other, and vice versa, the Pearson’s number will be zero; the Pearson number is only meaningful if the variables move in the same direction as one another close to -1 if the correlation is strong, negative but near zero if the correlation is weak close to -1 if the correlation is strong, close to +1 if the...
Regression analysis involves lurking variables, outliers, scatterplots, linear correlation coefficient, and regression equation. Answer the following...
Regression analysis involves lurking variables, outliers, scatterplots, linear correlation coefficient, and regression equation. Answer the following 2 questions for your main post: How have you used data to showcase an example or solve a problem? Did you get the outcome you expected? Explain.
Describe the relationship between two variables when the correlation coefficient r is near 0.
Describe the relationship between two variables when the correlation coefficient r is near 0.
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there...
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 2. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 3. A correlation coefficient of -0.96 would mean that the values of y decrease as the values of x increase.
Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables?...
Why is it advisable to generate a scatterplot before computing a correlation coefficient between two variables? Describe how a scatterplot might differ when viewing correlations that represent positive, negative, and no relationship between predictor and criterion variables. Is it possible to have a relation between variables that systematic (i.e., reliable and predictable) yet not linear?
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means...
A Correlation Coefficient is a measurement of the relationship between two variables. A positive correlation means that as one variable increases, the second variable increases too. A negative correlation means that as one variable increases, the second variable decreases, or as one variable decreases, the second variable increases. Positive and negative correlations exists in nature, science, business, as well as a variety of other fields. Please watch the following video for a graphical explanation of the correlation coefficient: For Discussion...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine...
Suppose we have the correlation coefficient for the relationship between two variables, A and B. Determine whether each of the following statement is true or false. (a) The variables A and B are categorical. (b) The correlation coefficient tells us whether A or B is the explanatory variable. (c) If the correlation coefficient is positive, then lower values of variable A tend to correspond to lower values of variable B. (d) If the correlation between A and B is r...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT