72. What is the distinction between a linear relationship and a correlation between two variables?

73. If you are interested in whether variable X causes variable Y, what is the relevance of knowing the variables X and Y are correlated?

74. What is a spurious correlation? What do spurious correlations indication about the relationship between correlation and causation?

75. What is the relationship between correlation and prediction? What do we mean by a prediction model?

The measure of the strength of the linear relationship between two variables is referred to as the:

a) Quotient of Correlation

b) Coefficient of Correlation

c)Measure of Strength

d) Lease Squares

Identify the true statements about the correlation coefficient, r.

a.) The correlation coefficient is not affected by outliers.

b.)The value of r ranges from negative one to positive one.

c.) When the data points in a scatter plot fall closely around a straight line that is either increasing or decreasing, the correlation between the two variables is strong.

d.) A correlation coefficient of zero means that no relationship exists between the two variables.

e.) If two variables are positively correlated, when one variable increases, the other variable decreases.

f.) The sign of r describes the direction of the association between two variables.

The coefficient of correlation conveys:

Select one 

a. the size and direction of the relationship between two variables.

b. the unintended changes in a subject's behaviour due to the experimenter's cues.

c. whether or not the principle of falsifiability applies to each variable. 

d. whether one variable causes the other variable to happen.