Question

A measure of the strength of the linear relationship that exists between two variables is called: Slope/Intercept/Correlation coefficient/Regression equation. If both variables X and Y increase simultaneously, then the coefficient of correlation will be: Positive/Negative/Zero/One. If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be: Perfect positive/Perfect negative/Negative/Zero. The range of correlation coefficient is: -1 to +1/0 to 1/-∞ to +∞/0 to ∞. Which of the following values could NOT represent a correlation coefficient? r = 0.99/r = 1.09/r = -0.73/r = -1.0. The correlation coefficient is used to determine: A specific value of the y-variable given a specific value of the x-variable/A specific value of the x-variable given a specific value of the y-variable/The strength of the relationship between the x and y variables/None of these. If two variables, x and y, have a very strong linear relationship, then: There is evidence that x causes a change in y/There is evidence that y causes a change in x/There might not be any causal relationship between x and y/None of these alternatives is correct. If the Pearson correlation coefficient R is equal to 1 (r=1) then: There is a negative relationship between the two variables. /There is no relationship between the two variables. /There is a perfect positive relationship between the two variables. /There is a positive relationship between the two variables. If the correlation between 2 variables is -.77, which of the following is true? There is a fairly strong negative linear relationship/An increase in one variable will cause the other variable to decline by 75%

Answer 1

(1) A measure of the strength of the linear relationship that exists between two variables is called: Slope/Intercept/Correlation coefficient/Regression equation.

answer is : Correlation coefficient

(2)If both variables X and Y increase simultaneously, then the coefficient of correlation will be: Positive/Negative/Zero/One.

answer is : Positive

(3) If the points on the scatter diagram indicate that as one variable increases the other variable tends to decrease the value of r will be: Perfect positive/Perfect negative/Negative/Zero.

answer is : Negative

(4) The range of correlation coefficient is: -1 to +1/0 to 1/-∞ to +∞/0 to ∞.

answer is : -1 to +1

(5) Which of the following values could NOT represent a correlation coefficient? r = 0.99/r = 1.09/r = -0.73/r = -1.0.

answer is : r = 1.09

(6) The correlation coefficient is used to determine: A specific value of the y-variable given a specific value of the x-variable/A specific value of the x-variable given a specific value of the y-variable/The strength of the relationship between the x and y variables/None of these.

answer is: The strength of the relationship between the x and y variables

(7)If two variables, x and y, have a very strong linear relationship, then: There is evidence that x causes a change in y/There is evidence that y causes a change in x/There might not be any causal relationship between x and y/None of these alternatives is correct.

answer is : There might not be any causal relationship between x and y

(8) If the Pearson correlation coefficient R is equal to 1 (r=1) then: There is a negative relationship between the two variables. /There is no relationship between the two variables. /There is a perfect positive relationship between the two variables. /There is a positive relationship between the two variables.

answer is : There is a perfect positive relationship between the two variables.

(9) If the correlation between 2 variables is -.77, which of the following is true? There is a fairly strong negative linear relationship/An increase in one variable will cause the other variable to decline by 75%

answer is : There is a fairly strong negative linear relationship