In the Pearson correlation coefficient, -1 refers to a perfect ________ linear relationship between the variables.

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.

Recall from Week 2: Correlation Coefficient, r The Correlation coefficient, r, is a measure of the strength and direction of a linear relationship between 2 variables X and Y Ranges between –1 and 1 • The closer to –1, the stronger the negative linear relationship • The closer to 1, the stronger the positive linear relationship • The closer to 0, the weaker the linear relationship (Also called Standardised Covariance i.e. invariant to units of measure)

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.

If the coefficient of determination is 1, then the correlation coefficient ___. Group of answer choicescan be either -1 or +1can be any value between -1 to +1must be -1must also be equal to 1

If there is perfect correlation, the value of the correlation coefficient is ________.