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.

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.

We first introduce the concept of correlation in the Section 2.5 notes.Consider a linear model of the relationship between two quantitative variables in which the slope coefficient is non-zero. Which of the following statements about the slope coefficient and the correlation r between the two variables is correct?Question 1Select one:a.The slope coefficient could be negative when the correlation coefficient is positiveb.The slope coefficient and the correlation coefficient should have the same sign (both positive, or both negative)c.The slope coefficient could be positive when the correlation coefficient is negatived.The correlation coefficient can only be a positive value (regardless of whether the slope is positive or negative)Clear my choice

Which of the following are measured by correlation coefficienta.Linear association between two random variablesb.Direction of relationship between two variables (positive or negative association)c.A unit free value for the strength of linear relationship between two random variablesd.All of the above

Which of the following correlation coefficients represents no correlation between two variables?

A correlation coefficient consists of two things: ____________ and __________Question 7Answera.Direction and strengthb.Sign, absolute valuec.Absolute value, strengthd.Sign and direction