Question

1. The Phi Coefficient (Φ) is the most appropriate measure of linear relationship when two variables...


1. The Phi Coefficient (Φ) is the most appropriate measure of linear relationship when two variables are:
A. Both continuous
B. Both dichotomies
C. Continuous and natural dichotomy
D. Continuous and artificial dichotomy.

Math   Statistics-And-Probability   
0 0
Add a commentTranscribed image text
Next >

Homework Answers

Answer #1

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
Explain the importance of linearity when measuring the relationship between two continuous variables. If the relationship...
Explain the importance of linearity when measuring the relationship between two continuous variables. If the relationship is not linear, what test would be advisable? List and explain two continuous variables that are unlikely to have a linear relationship.
When understanding the linear relationship between two continuous variables, what does the intercept tell us?
When understanding the linear relationship between two continuous variables, what does the intercept tell us?
Which of the following statements concerning the linear correlation coefficient is/are true? A: If the linear...
Which of the following statements concerning the linear correlation coefficient is/are true? A: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. B: If the slope of the regression equation is negative, then the linear correlation coefficient is negative. C: The value of the linear correlation coefficient always lies between -1 and 1 inclusive. D: A correlation coefficient of 0.62 suggests a stronger linear relationship than a correlation coefficient of -0.82.
The covariance and correlation coefficient are measures that quantify the non-linear relationship between two variables. T/F
The covariance and correlation coefficient are measures that quantify the non-linear relationship between two variables. T/F
1. Name two ways in which two variables could be related. Select the two most correct...
1. Name two ways in which two variables could be related. Select the two most correct answers. Choose the correct answer below. A) Strong and moderate B) Moderate and negative C) Weak and moderate D) strong and weak 2. Name a graph that can be used to quickly illustrate the relationship between two variables? Choose the correct answer below. A) Histogram B) Regression line C) Scatter plot D) Time series graph. 3. What do we mean by the strength of...
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
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.
Select at least three variables that you believe have a linear relationship. A. Specify which variable...
Select at least three variables that you believe have a linear relationship. A. Specify which variable is dependent and which are independent. B. Collect the data for these variables and describe your data collection technique and why it was appropriate as well as why the sample size was best. C. Submit the data collected by submitting the SPSS data file with your submission. D. Find the Correlation coefficient for each of the possible pairings of dependent and independent variables and...
Since a sample data shows that a linear correlation coefficient between two variables is about 0.08,...
Since a sample data shows that a linear correlation coefficient between two variables is about 0.08, then it rules out a possible causal relationship between the two variables. Yes No
Please choose the most appropriate description of the concepts related to the linear model. The linear...
Please choose the most appropriate description of the concepts related to the linear model. The linear relation between two continuous variables Pearson's r asks the opposite question of this Type of plot that depicts the relation between X and Y Person's r has no error term in its formula Pearson's r can compare two sets of numbers when n1 does not equal n2 Prediction using the linear model The point on Y when X=0 The rate of change as one...
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT