# which of the following statements is correct concerning correlation coefficients

a. Correlation coefficients are indicators of the strength of the linear relationship between two different variables, x and y. A: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. The correlation coefficient is a unit less number and must always lie between –1.0 and +1.0, inclusive. A.The correlation coefficient measures the strength of the linear relationship between two numerical variables. Its square is the coefficient of determination. The correct statements are as follows: Correlation coefficients are used to measure the strength, like weaker or stronger relationship between two variables. It can range from 1 to 1. b. For example, a value of 0.2 shows there is a positive correlation … The alpha-cuts of fuzzy sample correlation coefficient are first derived at various alpha-values. The x-variable explains 25% of the variability in the y-variable. A correlation of +1.00 means that the rates of return for these two investments move exactly together. A positive value indicates a strong correlation between the two variables; a negative value indicates a week correlation between the two variables. Hence, kP = wAkA + wBkB = 0.5(10%) + 0.5(12%) = 11%. a. d. It is a measure of the association between two variables. I think the correct answer would be the second option. A correlation of 1 indicates a perfect cause-and-effect relationship between the variables. C.Outliers may reduce the reliability of a correlation coefficient. II. 15. The statement tha is correct concerning correlation coefficients would be that a correlation of +.89 and -.89 are both strong and equal. The extension of the idea of correlation to fuzzy environments is of great interesting. The strength of the relationship varies in degree based on the value of the correlation coefficient. II: If the slope of the regression line is negative, then the linear correlation coefficient is negative. c. The x-variable explains 50% … I: If the linear correlation coefficient for two variables is zero, then there is no relationship between the variables. Which of the following statements regarding the correlation coefficient is NOT true? It would have a value ranging from -1 to +1. c. It measures the percent of variation explained. b. The x-variable explains −25% of the variability in the y-variable. asked Oct 1, 2016 in Statistics by Lauren. The correlation coefficient and the slope of the regression line may have opposite signs. Which of the following statements are correct? Which of the following statements is correct? Which of the following statements concerning the linear correlation coefficient are true? Correlation coefficients can range from +1.00 to –1.00. The value of a correlation is reported by a researcher to be r = −0.5. If X and Y have positive correlation coefficient, when we run a regression analysis Y=a+bX+e, we will find b positive. The aim of this work is to elucidate the test of hypothesis concerning correlation coefficient with fuzzy data. Which of the following statements is not correct regarding the coefficient of correlation. B.A value of 0.00 indicates that the two variables are perfectly linearly correlated. Which of the following statements concerning the linear correlation coefficient are true? A correlation coefficient is a value that measures dependence and correlation between variables. Statement b is also correct; since the correlation coefficient is zero, the standard deviation of the portfolio must be less than the weighted average of the standard deviations of each of the component stocks. Will find b positive tha is correct concerning correlation coefficient are true the following statements is NOT?... 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