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

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.

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.

The correlation coefficient of this scatterplot is -0.8Use the drop down menus below to describe the relationship between the two variables. The relationship between the two variables is

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)

The coefficient of correlation r between two bivariate data is –0.80.  Which best describes the correlation?*There is no correlation because the computed r is negative.The correlation is very high but negative.The correlation is very low but negative.The strength of the correlation is negligible.None of the above