Ans : TRUE
(since if the correlation coefficient is positive then one variable is expected to increase as the other variable increases)
(True or False) If the correlation coefficient is positive, then above-average values of one variable are...
Determine if the following statement is true or false. A correlation coefficient close to 1 is evidence of a cause-and-effect relationship between the two variables. The statement is true O A. False. Only a correlation coefficient close to 0 indicates a cause-and-effect relationship between the two variables O B. False. A correlation coefficient should not be interpreted as a cause-and-effect relationship O c. True, but only if all the conditions for correlation are met. False. A correla.on coefficient of 1...
If a correlation coefficient is 0.80, then: O A. The explanatory variable is usually less than the response variable. O B. The explanatory variable is usually more than the response variable O C. Below average values of the explanatory variable are more often associated with below-average values of the response variable. O D. Below average values of the explanatory variable are more often associated with above-average values of the response variable. O E. None of the statements are correct.
True or False 1. The correlation coefficient is way to determine if one variable causes another variable to change. 2. A linear model is representation of the linear relationship between two variables. 3. The least squares line, or line of best fit, is the line which minimizes the sum of the individual squares of the residuals. 4. Most linear models do not have any residuals. 5. Regression equations can be used to make predictions. However, the context of the data...
A covariance coefficient is bounded between 1 and -1. True or False? A correlation of 1.0 means that a scatterplot of X and Y would result in all the values falling on a straight, downward sloping line. True or False?
QUESTION 4 The Correlation Coefficient is 95.48% True False QUESTION 5 The Coefficient of Determination is 91.16% True False
Let r be the correlation coefficient. Denote the explanatory variable by X and the responsible variable by Y . Which statement is correct ? (A) Positive r indicates a perfect linear relationship between X and Y . (B) r is always a number between 0 and 1. (C) r is almost 0 if values of X’s and Y ’s are all positive. (D) The correlation of variables −X and Y is −r. (E) None of the above.
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
True or False: The correlation coefficient is the ratio of explained variation to total variation.
QUESTION 6 Suppose the correlation coefficient between two variables is found to be -0.94. Which of the following statements are true? there is a strong tendency for small values of one variable to be associated with large values of the other variable there is a weak negative relationship between the variables a scatter plot of the data points would show a clear downward trend there is a strong tendency for low values of one variable to be paired with low...
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.