Question

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?

Homework Answers

Answer #1

Solution :-

A correlation coefficient of - .09 between variables X and Y would be interpreted as indicating Weak negative between the variables.

Ans --

c. Weak negative

Option ' c ' is correct.

-------------------------------------------------------------------------

In terms of the strength of relationship, the value of the correlation coefficient varies between +1 and -1. A value of ± 1 indicates a perfect degree of association between the two variables. As the correlation coefficient value goes towards 0, the relationship between the two variables will be weaker.

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
A negative correlation between variables X and Y means that ____. A. the correlation between variables...
A negative correlation between variables X and Y means that ____. A. the correlation between variables X and Y is very weak B. scores on variable X has little predicting power on the corresponding scores on variable Y C. higher scores on variable X correspond to lower scores on variable Y and vice versa D. Higher scores on variable X correspond to higher scores on variable Y while lower scores on variable X correspond to lower scores on variable Y...
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
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
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...
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 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
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...
Consider a correlation coefficient of .095 between variables A and B. The correlation coefficient was calculated...
Consider a correlation coefficient of .095 between variables A and B. The correlation coefficient was calculated from a sample of 1100 respondents and is statistically significant, p < .0001. Consider a correlation coefficient of .891 between variables C and D. The correlation coefficient was calculated from a sample of 15 observations and is statistically nonsignificant, p > .10. So, when should marketing analysts consider a correlation strong enough to even consider given the issue raised above?
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...
10. The correlation coefficient for a set of 35 ordered pairs (x, y) is 0.968 where...
10. The correlation coefficient for a set of 35 ordered pairs (x, y) is 0.968 where x = average number of grams of protein consumed daily and y = the maximium weight lifted during the performance of a bench press. Which of the following conclusions can be drawn from the r value? Group of answer choices There is a strong positive linear relationship between protein consumption and bench press maximums, which means higher protein consumption appears with heavier maximums. There...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT