May 9, 2009 - Review and Analysis - Quick T/F Quiz

We have learned basic concepts and formulas to decide whether a relationship exits
between two variables. They learn to present paired data in a scatter plot and to calculate and interpret a correlation coefficient. If the data elements are found to be correlated, the students can find a linear equation that best models the relationship and draw a regression line using Excel. They also learn to use the equation of regression line to predict a y-value for a given x-value.

True or False - Answer in your work groups and post:

1. If there is a strong correlation between two variables, you can conclude that one
variable caused the other.

2. Correlation coefficient r close to –1 implies that there is no correlation between the two variables.

3. A correlation is a relationship between more than two variables.

4. A regression line is the line that maximizes the residuals.

5. The equation of a regression line can be used to predict the independent variable x value for a given y-value.