1. Use the Stat 281 Spring 2016 Clean Data Set for this one. In the previous labs we have looked at each variable separately. Now we want to consider the relationship some variables have with each other. In this lab we will use the height and weight data in order to find bivariate relationships. Plot height and weight as a scatter plot in Excel, add in 2 and the line of best fit to the graph. Have your instructor verify the excel output. Is there a positive or negative correlation? Circle any points you think are outliers. (1)

2. Now re-graph it without the outliers. (4)

3. What is the correlation coefficient r for the graph without the outliers? Write down the line of best fit. Is there a weak, moderate or strong relationship for r? What percentage of the variation can be explained? (2)

4. What is the y-intercept for our line of best fit? What information does it give us? (2)

5. What is the slope and what information does it give us? (2)

6. How much would you predict someone who is 75 inches tall to weigh according to the line of best fit? Show all your work. Round your answer to the nearest pound. (2)

7. Would it be appropriate to make a prediction about someone that is 50 inches tall? Why or why not