Credits Taken and Swipes Dining Services wanted to see if there was a correlation between number of credits taken and average number of weekly swipes among commuters. The following scatterplot reveals the results: Average Weekly swipes Number E:Ll'Ed.I 20 3 points Q One student took 10 credits and used 2 average weekly swipes. That point is an example of... Residual Extrapolation Inuential Observation Outlier 3 points Q which of the following is true? Average swipes per week is the independent variable Number of credits is the dependent variable Number of credits is the explanatory variable Average swipes per week is the explanatory variable 3 points Q The regression equation for this data set is: Average number of weeidy swipes = 2. 5256 + .5659 (Number of credits) Which of the following is the correct interpretation for INTERCEPT? Q As the average number of weekly swipes increases by 1, the number of credits taken can be expected to increase by .5659. If the student is taking no credits, the expected average number of weekly swipes is 2.5256. As the number of credits increases by 1, the average number of weekly swipes can be expected to increase by 2.5256. If the student is taking no credits, the expected average number of weekly swipes is .5659. 3 points Q The regression equation for this data set is: Average number of weekly swipes = 2. 5256 + .5659 (Number of credits) Which of the following is the correct interpretation for SLOPE? If the student is taking no credits, the expected average number of weekly swipes is .5659. As the number ofcredits increases by 1,the average number ofweekly swipes can be expected to increase by .5659. If the student is taking no credits, the expected average number of weekly swipes is 2.5256. As the average number of weekly swipes increases by 1, the number of credits can be expected to increase by .5659. 24 3 points )59 The regression equation for this data set is: Average number of weekfy swipes = 2.5256 + .5659 (Number of credits) What is the predicted average number of swipes if the person is taking 11 credits? 8.6988 9.5342 9.1239 8.7505 3 points 5? The predicted average number of swipes for someone who is taking 7\" credits is 5.4859. The observed average number of swipes for a person who is taking 7 credits was 5, making a difference of -.4869. The difference between the observed value and the predicted value is called: Confounding Variable Extrapolation Residual Outlier 3 points 5? Which of the following statements is true regarding the point {10, 2) That point turns the correlation from positive to negative That point makes the correlation weaker That point turns the correlation from negative to positive That point makes the correlation stronger 3 points 559 Which of the following is the best estimate/guess for r, the correlation coefcient? No calculations are needed. ,05 ,99 :6 1 .78