Question

True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...

True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).

Homework Answers

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
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals −0.75,...
Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals −0.75, this means that: a. there is very weak correlation. b. the slope b1 is = −0.75. c. the value of X is always greater than the value of Y. d. None of these choices are true. Which of the following is a property of the slope, b1? a. The slope equals one if X and Y have the same variance. b. The slope has...
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.
Which of the following are true in simple linear regression? True or False for each There...
Which of the following are true in simple linear regression? True or False for each There is only one independent variable (X). Y is the dependent variable. The relationship between X and Y is described by a linear function. Changes in Y are assumed to be related to changes in X. X is the independent variable because Y is dependent on X
Correlation and Regression True or False 3 Questions: K). In simple linear regression predicting Y from...
Correlation and Regression True or False 3 Questions: K). In simple linear regression predicting Y from X, the unstandardized coefficient of the X variable will always equal the Pearson r between X and Y. (Assume X and Y are not measured as z scores). L). In simple linear regression predicting Y from X, the standardized coefficient of the X variable will always equal the Pearson r between X and Y. M). In multiple regression predicting Y from X, the standardized...
True or False: If the correlation coefficient between response variable and the independent variable (or predictor)...
True or False: If the correlation coefficient between response variable and the independent variable (or predictor) is close to zero, then the predictor makes almost no contribution in the variation of the response. Briefly justify your conclusion.
TRUE or FALSE: A correlation coefficient distinguishes between independent and dependent variables.
TRUE or FALSE: A correlation coefficient distinguishes between independent and dependent variables.
The slope coefficient (b) measures the ______________ of the linear relationship between the independent and dependent...
The slope coefficient (b) measures the ______________ of the linear relationship between the independent and dependent variable while the correlation coefficient indicates the _______________ of the relationship. a. strength; direction b. form; strength c. direction; form d. strength; form
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation...
Which of the following statements concerning regression and correlation analysis is/are true? A. If the correlation coefficient is zero, then there is no linear relationship between the two variables. B. A negative value for the correlation coefficient indicates that high values of the independent variable are correlated with low values of the dependent variable.   C. The slope coefficient for a simple linear regression model measures the expected change in the independent variable for a unit change in the dependent variable....
The correlation between x, ( the diameter of the tree), and Y (the tree’s height) is...
The correlation between x, ( the diameter of the tree), and Y (the tree’s height) is 0.875064.   A coefficient of correlation of 0.875064 indicates a strong correlation between the independent variable and the dependent variable.   In general, if Y tends to increase along with X, there's a positive relationship. QUESTION: What does this mean in terms of the problem?    Is it a strong correlation? is it statistically significant?
ADVERTISEMENT
Need Online Homework Help?

Get Answers For Free
Most questions answered within 1 hours.

Ask a Question
ADVERTISEMENT