The statement is false.
Correlation coefficient ranges between O and 1.
The correlation coefficient is a ratio and is expressed as a unitless number. Covariance can be equal but cannot exceed the product of the standard deviations of its variables. The correlation coefficient will range between +1 (perfect direct relationship) and −1 (perfect inverse relationship)
The statement is false. Correlation coefficient ranges between O and 1.
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...
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?
Q3 If DW is 1.5. What is the correlation coefficient between Te and u-i? at is the correlation coefficient between i and e-(5 marks) Q4. If the error term is heteroskedastic, then standard error is not correct but t-statistic is correct. True or False? (5 marks) Q3 If DW is 1.5. What is the correlation coefficient between Te and u-i? at is the correlation coefficient between i and e-(5 marks) Q4. If the error term is heteroskedastic, then standard error...
Which of the following is a measurement of the co-movement between two variables that ranges between-1 and +1? Multiple Choice O Total risk Coefficient of variation O Standard deviation Correlation
Is the following statement true or false? The Pearson correlation coefficient is a scaled (i.e., standardized) version of the covariance. True False
Which of the following statements is false? The magnitude of r ranges from -1 to +1. Covariance can be more than 1. The absolute value of correlation coefficient should not exceed 1.0 regardless of the scales of measurement. We do not know the direction of associations between two variables by calculating a covariance.
Which of the following is false? Correlation coefficient and the slope always have the same sign (positive or negative). If the correlation coefficient is 1, then the slope must be 1 as well. Correlation measures the strength of linear association between two numerical variables. If the correlation between two variables is close to 0.01, then there is a very weak linear relation between them.
The value of the coefficient of determination ranges from -1 to +1 where a zero indicates no relationship between the variables True or false
True or False: if the r(correlation coefficient) is closer to 1, the slope(beta) will be larger to reflect a stronger linear relationship between X and Y .
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.