Question

Examining two variables, suppose that you calculate the correlation coefficient to be equal to 0.14. How...

Examining two variables, suppose that you calculate the correlation coefficient to be equal to 0.14. How would you best describe this correlation?

A. Weak positive correlation

B. Strong negative correlation

C. Strong positive correlation

D. Weak negative correlation

Business   Economics   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

Ans: Weak positive correlation

Explanation:

Coefficient of correlation is mentioned as 'r'

The value of r lies between -1 < r < +1. The + sign shows positive linear correlations and - sign shows negative linear correlations, respectively.

If r is close to +1, it means there is a strong positive correlation between two variables.

If r far away from +1, it means there is a weak positive correlation between two variables.

If r is close to -1, it means there is a strong negative correlation between two variables.

If r far away from -1, it means there is a weak negative correlation between two variables.

Since 0.14 is away from +1, it means there is a weak positive correlation between two variables

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 coefficient of correlation of -0.9 indicates the relationship between the two variables is (a) weak...
A coefficient of correlation of -0.9 indicates the relationship between the two variables is (a) weak and negative (b) strong and positive (c) strong and negative
A correlation coefficient of - .09 between variables X and Y would be interpreted as indicating...
A correlation coefficient of - .09 between variables X and Y would be interpreted as indicating ______ between the variables. a. weak-positive? b. strong positive? c. weak negative? d.strong negative?
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...
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...
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)...
b. Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe...
b. Spearman’s Correlation. Identify two variables for which you could calculate a Spearman’s correlation coefficient. Describe the variables and their scale of measurement. Now, assume you conducted a correlation and came up with a significant positive or negative value. Create a mock r value (for example, .3 or -.2). Report your mock finding in APA style (note the text does not use APA style) and interpret the statistic in terms of effect size and R2 while also taking into account...
Correlation is a visual method for determining the relationship between two variables... including linear, curve linear,...
Correlation is a visual method for determining the relationship between two variables... including linear, curve linear, strong, weak, positive, negative, and no relationships. The correlation coefficient is a mathematical reflection of that relationship. Regression analysis is the same thing as the correlation coefficient. True or False
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...
For the following data​ (a) display the data in a scatter​ plot, (b) calculate the correlation...
For the following data​ (a) display the data in a scatter​ plot, (b) calculate the correlation coefficient​ r, and​ (c) make a conclusion about the type of correlation. The ages​ (in years) of 6 children and the number of words in their vocabulary. ​(b) The correlation coefficient r is nothing. ​(Round to three decimal places as​ needed.) ​(c) Which of the following best describes the type of correlation that exists between age and vocabulary​ size? A. Weak positive linear correlation...
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...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT