A measure of the strength of the linear relationship that existsbetween two variables is called: Slope/Intercept/Correlationcoefficient/Regression equation. If both variables X and Y increasesimultaneously, then the coefficient of correlation will be:Positive/Negative/Zero/One. If the points on the scatter diagramindicate that as one variable increases the other variable tends todecrease the value of r will be: Perfect positive/Perfectnegative/Negative/Zero. The range of correlation coefficient is: -1to +1/0 to 1/-∞ to +∞/0 to ∞. Which of the following values couldNOT represent a correlation coefficient? r = 0.99/r = 1.09/r =-0.73/r = -1.0. The correlation coefficient is used to determine: Aspecific value of the y-variable given a specific value of thex-variable/A specific value of the x-variable given a specificvalue of the y-variable/The strength of the relationship betweenthe x and y variables/None of these. If two variables, x and y,have a very strong linear relationship, then: There is evidencethat x causes a change in y/There is evidence that y causes achange in x/There might not be any causal relationship between xand y/None of these alternatives is correct. If the Pearsoncorrelation coefficient R is equal to 1 (r=1) then: There is anegative relationship between the two variables. /There is norelationship between the two variables. /There is a perfectpositive relationship between the two variables. /There is apositive relationship between the two variables. If the correlationbetween 2 variables is -.77, which of the following is true? Thereis a fairly strong negative linear relationship/An increase in onevariable will cause the other variable to decline by 75%