Question

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) The correlation coefficient for two variables is -0.14. The relationship between the variables is

Group of answer choices

weak and positive

weak and negative

strong and positive

strong and negative

D)Two variables x and y have a strong positive correlation. This means

Group of answer choices

changing x will cause changes in y

changing y will cause changes in x

there may or may not be any causal relationship between x and y

None of these alternatives are correct

Homework Answers

Answer #1

Part A)

Yes, higher covariance means stronger the relationship between variables.

Part B)

Standardizing the value
Z = ( X - µ ) / σ
Z = ( 15 - 8 ) / 2
Z = 3.5
Yes, the z-score is greater than 3

Part c)

r = - 0.14

It indicate that there is week correlation between variables, because the value is closer to 0.

Negative sign indicate that the correlation is negative

weak and negative

Part d)

If the variables have strong positive correlation, then we can conclude that changing x will cause changes in y.

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
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...
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
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
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...
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
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 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...
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....
1)Adding an outlier in a scatterplot will do which of the following to the correlation coefficient?...
1)Adding an outlier in a scatterplot will do which of the following to the correlation coefficient? Explain a) Increase the correlation coefficient b) Decrease the correlation coefficient c) Change the correlation coefficient from positive to negative d) Change the correlation coefficient from negative to positive e) All options above are possible   2) When the correlation coefficient is close to +1, it indicates. Please explain a) changes in one variable cause changes in the other, but we don't know which one...
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?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT