- Data Table Full D Test 2 Y Test 1 X 18 21 Test 1 X 19 27 18 20 25 25 Test 2 Y 1360 1340 1910 1150 1360 1780 1590 28 1 (71.08 KiB) Viewed 24 times
- Data Table Full D Test 2 Y Test 1 X 18 21 Test 1 X 19 27 18 20 25 25 Test 2 Y 1360 1340 1910 1150 1360 1780 1590 28 2 (44.88 KiB) Viewed 24 times
Using the sample data from the accompanying table, complete parts (a) tlough (e) Click the icon to view the datatable (a) Predict the mean test 2 scom for entering freshmen who score a 24 on the test 1. (Round to the nearest whole number as needed) (b) Construct a 95% confidence interval for the mean test 2 score for entering freshenen who scoro a 24 on the test 1 The 95% confidence interval for the mean test 2 score for entering freshmen who score a 24 on the test 1 is lower bound upper bound (Round to the newest whole number as needed) (c) Predict the test 2 score of a randomly selected freshman who scores a 24 on the test 1 Round to the nearest whole number as needed) (d) Construct a 95% prediction interval for the test 2 score for a randomly selected freshman who scores a 24 on the test 1 The 95% prediction interval for the test 2 score for a randomly selected freshman who scores a 24 on the test 1 is lower bourid upper bound 1 (Round to the nearest whole number as needed) (a) Explain why the predicted weights in parts (a) and (c) are the same, yet the intervals constructed in parts (6) and (C) are different. Choose the correct answer below O A The intervals are different because the distribution of the mean weights, par (a), has loss vanability than the distribution of individunt wenights part (0) OB. The intervals are different because there is no linear relationship between test 1 scores and test 2 scores eThe intervals are different because the distribution of the mean weights, part (a), has more vanability than the disibution of individual weights, part)