1. © 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through Data, 1e by Gould and Ryan Chapter 4: Regression Analysis: Exploring Associations between Variables Slide 4 - 1

2. Which of the following depicts a linear trend? Slide ? - 2 © 2013 Pearson Education, Inc. A. B. Response Counter

3. True or False The correlation coefficient does not tell you whether an association is linear. However, if you already know that the association is linear, then the correlation coefficient tells you how strong the association is. A. True B. False Slide ? - 3 © 2013 Pearson Education, Inc. Response Counter

4. True or False The regression line is a tool for making predictions about future observed values. A. True B. False Slide ? - 4 © 2013 Pearson Education, Inc. Response Counter

5. In the regression equation y = a + bx, A. The letter a represents the intercept. B. The letter b represents the slope. C. Sometimes we write predicted in front of the y-variable. D. All of the above. Slide ? - 5 © 2013 Pearson Education, Inc. Response Counter

6. The regression line is chosen because, A. It is the line that comes closest to most of the points. B. It provides the best fit to the data. C. The square of the vertical distance between the points and the line, on average, is bigger for any other line we might draw than for the regression line. D. All of the above. Slide ? - 6 © 2013 Pearson Education, Inc. Response Counter

7. In the regression line the x-variable is called the A. Explanatory variable. B. Predictor variable. C. Independent variable. D. All of the above. Slide ? - 7 © 2013 Pearson Education, Inc. Response Counter

8. In the regression line the y-variable is called the A. Response variable. B. Predicted variable. C. Dependent variable. D. All of the above. Slide ? - 8 © 2013 Pearson Education, Inc. Response Counter

9. True or False An association between two variables is not sufficient evidence to conclude that a cause- and-effect relationship exists between the variables, no matter how strong the correlation or how well the regression line fits the data. A. True B. False Slide ? - 9 © 2013 Pearson Education, Inc. Response Counter

10. True or False Outliers can be called influential points because their presence or absence has a big effect on conclusions. A. True B. False Slide ? - 10 © 2013 Pearson Education, Inc. Response Counter

11. True or False Extrapolation means that we use the regression line to make predictions beyond the range of our data. This practice can be dangerous, because although the association may have a linear shape for the range we’re observing, that might not be true over a larger range. Slide ? - 11 © 2013 Pearson Education, Inc. A. True B. False Response Counter