If the coefficient of correlation between x and y is close to -1.0, which of the following statements iš correct? o a. There is a weak, negative linear relationship between x and y, where there may or may not be any causaPrelătionship between x and y. o b. There is a strong, negątive linear relationship between x and y, where there may or may not be any causal relătionship between x and y. o C. There isa strong, negative linear relationship between x and y, where there must be a čaušal řelationship bėtween x änd y. o d. There is a strong, positive linear relationship bętween x and y, where there may or may not be any causal rélationship betweenx'and y.

If we find that there is a linear correlation between the concentration of carbon dioxide in our atmosphere and the global temperature, does that indicate that changes in the concentration of carbon dioxide cause changes in the global temperature? Choose the correct answer below. A. No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable. B. Yes. The presence of a linear correlation between two variables implies that one of the variables is the cause of the other variable.

What does it mean to say that the linear correlation coefficient between two variables equals 1? What would the scatter diagram look like? ..... Choose the correct answer below. O A. When the linear correlation coefficient is 1, there is a perfect positive linear relation between the two variables. The scatter diagram would contain points that all lie on a line with a positive slope. B. When the linear correlation coefficient is 1, there is a perfect negative linear relation between the two variables. The scatter diagram would contain points that all lie on a line with a negative slope. C. When the linear correlation coefficient is 1, there is a perfect horizontal linear relation between the two variables. The scatter diagram would contain points that all lie on a horizontal line. D. When the linear correlation coefficient is 1, there is no linear relation between the variables. The scatter diagram would contain points that show no discernable relationship.

If the Pearson correlation is measured between two variables X and Y and was - 0.56. This indicates that:  Select one: a. X and Y medium correlation, and if X increases, Y will increase generally  b. X and Y strong correlation, and if X increases, Y will increase generally  c. X and Y strong correlation, and if X increases, Y will decrease generally  d. X and Y medium correlation, and if X increases, Y will decrease generally