In simple linear regression, if the value of the correlation coefficient (r) is close to 1 or -1, what can we infer?A) The independent variable has no effect on the dependent variable.B) There is a weak linear relationship between the independent and dependent variables.C) The relationship between the variables is likely non-linear.D) There is a strong linear relationship between the independent and dependent variables.

If there is no relationship (linear or otherwise) between two quantitative variables as observed on a scatterplot, the value of the correlation coefficient, r, is likely to be which of the following? Closer to 1 Closer to −1 Closer to 0 Either closer to −1 or 1

What does a correlation coefficient of -1 indicate? No linear relationship between two variables. A perfect positive linear relationship between two variables. A perfect negative linear relationship between two variables. The variables are unrelated.

Which of the following statements about the correlation coefficient is FALSE? It measures the strength and direction of a linear relationship. A value of 0 indicates no linear relationship. It can only take positive values. A value of -1 indicates a perfect negative linear relationship.

Suppose that the correlation r between two quantitative variables was found to be r = 0. Which of the following is the best interpretation of this correlation value? There is a strong linear relationship between the two variables. There is no linear relationship between the two variables. There is a strong relationship between the two variables. There is no relationship between the two variables.

When is the correlation coefficient equal to 0?(1 Point)a) When there is a strong positive linear relationship.b) When there is a strong negative linear relationship.c) When there is no linear relationship.d) When there is a curvilinear relationship.