Which of the following statements about the correlation, r, between Y and X is NOT true?...
Which of the following statements about the correlation,
r, between Y and X is NOT true?
A. r measures the strength of the linear association
between Y and X.
B. r does not provide any information about the strength of non-linear relationships.
C. r = 0 means there is no relationship between Y and X.
D. Calculating r is not appropriate if the distributions of Y and X are skewed with outliers.
Homework Answers
Option : C r=0 means there is no relationship between Y and X.
Here r=0 But X and Y are related.
Y=X2
Add Answer to:
Which of the following statements about the correlation,
r, between Y and X is NOT true?...
Which of the following are true statements about the correlation coefficient r? I. A correlation coefficient...
Which of the following are true statements about the correlation coefficient r? I. A correlation coefficient of .3 means that 30% of the points are highly correlated. II. The square of the correlation measures the proportion of the y-variance that is predictable from a knowledge of x. III. Perfect correlation, that is, when the points lie exactly on a straight line is r = 0.
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between...
Which of the following best describes correlation? a.) Correlation measures the strength of the relationship between any two variables. b.) Correlation measures the strength of the linear association between two categorical variables. c.) Correlation measures how much a change in the explanatory variable causes a change in the response variable. d.) Correlation measures the strength of the linear relationship between two quantitative variables.
1) Which of the following statements regarding the correlation is true. A) The correlation is not...
1) Which of the following statements regarding the correlation is true. A) The correlation is not sensitive to outliers. B) −1 < r < 1. C) If r is the correlation between X and Y , then −r is the correlation between Y and X. D) If r is the correlation between X and Y , then 2r is the correlation between 2X and Y . E) None of the above.
4) Which of the following statements regarding the correlation coefficient is not true?
Which of the following statements regarding the correlation coefficient is not true? A) The correlation coefficient has values that range from-1.0 to 1.0 inclusive. B) The correlation coefficient measures the strength of the linear relationship between two numerical variables C) A value of 0.00 indicates that two variables are perfectly linearly correlated D) All of these are true statements
20. All of the following statements are true about correlation EXCEPT:* (A) Correlation is always between...
20. All of the following statements are true about correlation EXCEPT:* (A) Correlation is always between 1 and 1, inclusive. (B) Correlation does not change if we change the scales of the explanatory variable (e.g. inches to feet). (C) Correlation measures how strong the linear tendency is between the explanatory and the response variables. (D) A correlation close to 1 or -1 indicates that the explanatory variable causes the response variable to behave a certain way. 35. The table below...
The value of r obtained by calculating the correlation between X and Y is the same...
The value of r obtained by calculating the correlation between X and Y is the same as the correlation between Y and X. A. True B. False
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which...
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which statement is best? a. There is a strong positive association between x and y and a straight line fit to the data cannot be substantially improved by fitting a curve to the data. b. There is a strong positive association between x and y and a straight line fit to the data can certainly be substantially improved by fitting a curve to the data....
Determine whether each of the following statements regarding the correlation coefficient is true or false. The...
Determine whether each of the following statements regarding the correlation coefficient is true or false. The correlation coefficient equals the proportion of times that two variables lie on a straight line. The correlation coefficient will be +1.0 if all the data points lie on a perfectly horizontal straight line. The correlation coefficient measures the strength of any relationship that may be present between two variables. The correlation coefficient must always lie between –1.0 and +1.0.
Which of the following are true about the strength of the association between two variables? 1-...
Which of the following are true about the strength of the association between two variables? 1- The possible range of r is measured between -1.0 and 1.0 2- Positive and negative correlations are equally strong; -.50 is the same strength as .50 3- r = -.50 is a stronger correlation than r = -2.0 4- All the above
1. When no linear relationship exists between variable X and variable Y, r equals which of...
1. When no linear relationship exists between variable X and variable Y, r equals which of the following? a) −∞-∞ b) -1 c) 0 d) +1 e) +∞+∞ 2. Pearson’s r correlation measures the relationship between which of the following? a) Two continuous variables b) Two categorical variables c) One continuous and one categorical variable
20. All of the following statements are true about correlation EXCEPT:* (A) Correlation is always between 1 and 1, inclusive. (B) Correlation does not change if we change the scales of the explanatory variable (e.g. inches to feet). (C) Correlation measures how strong the linear tendency is between the explanatory and the response variables. (D) A correlation close to 1 or -1 indicates that the explanatory variable causes the response variable to behave a certain way. 35. The table below...
14. Multiple Choice Variables x and y have a correlation coefficient of r = 0.89. Which statement is best? a. There is a strong positive association between x and y and a straight line fit to the data cannot be substantially improved by fitting a curve to the data. b. There is a strong positive association between x and y and a straight line fit to the data can certainly be substantially improved by fitting a curve to the data....
Most questions answered within 3 hours.
-
Where is the error in this code sequence?
String s1 = "Hello";
String s2 = "ello";...
asked 11 months ago -
Financial data for Joel de Paris, Inc., for last year
follow:
Joel de Paris, Inc.
Balance...
asked 11 months ago -
Consider this reaction:
Al2(SO4)3 (aq)+ BaCl3
(aq) Al2Cl6 (aq)- +
3BaSO4(s) . What is the...
asked 11 months ago -
Suppose that Savneet is considering increasing her
recent random sample from 20 car rentals to 40...
asked 11 months ago -
Trucks arrive at an unloading terminal at an average rate of 120
per hour.
Trucks arrive...
asked 11 months ago -
Why are methanol and ethanol completely soluble in water while
octanol is not very little soluble....
asked 11 months ago -
A facilities manager at a university reads in a research report
that the mean amount of...
asked 11 months ago -
When the CuSO4 is rehydrated by adding water to the anhydrous
compound, is this an endothermic...
asked 11 months ago -
A ray of sunlight is passing from diamond into crown glass; the
angle of incidence is...
asked 11 months ago -
A block of mass 0.249 kg is placed on top of a light, vertical
spring of...
asked 11 months ago -
how do the kidneys compensate in the presences of acidosis
a) trigger hyperventilate
b) reserve acid...
asked 11 months ago -
Question 501 pts
The rental rate of capital to the firm increases. Which of the
following...
asked 11 months ago