5. Decide whether each statement is true or false. (1 point each)
a. T/F: If there is a strong correlation between two variables, the correlation coefficient will be close to –1 or 1.
b. T/F: If there is a negative correlation between two variables, the slope of the regression line will be positive.
c. T/F: If there is a strong correlation between two variables, there is a cause-and-effect relationship.
d. T/F: The best model for data that change direction is a linear model.
e. T/F: A regression line is useful for predicting unknown values within the range of the observed data values.