1. Consider the relationship between the following variables:
   1. Household income
   2. Square footage of the primary residence
   3. Household income would be considered the independent variable.
2. A scatter plot is a useful tool to examine the data before conducting correlation analysis.
3. A relationship is linear if the scatter plot of the independent and dependent variables has a straight-line pattern.
4. The values of the correlation coefficient range between -1.0 and +1.0.
5. If two variables have a correlation coefficient equal to +0.75, the scatter plot will have an upward slope moving from left to right.
6. If two variables have a correlation coefficient equal to +0.70 from a sample size of 9, we can conclude that the population correlation coefficient is greater than zero using = 0.05.
7. An ordered pair is a set of x and y values that pertain to a specific observation.
8. The least squares method is a mathematical procedure used to identify the linear equation that best fits a set of ordered pairs.
9. The slope value for a regression equation represents the average change in the dependent variable for a one-unit increase in the independent variable.
10. The total sum of squares can never be negative.