1. Fill in the blank: For these data, grade point averages that are less than the mean of the grade point averages tend to be paired with standardized test scores that are the mean of the standardized...

Extracted text: 1. Fill in the blank: For these data, grade point averages that are less than the mean of the grade point averages tend to be paired with standardized test scores that are the mean of the standardized Choose one test scores. 2. According to the regression equation, for an increase of one point in standardized test score, there is a corresponding increase of how many points in grade point average? 3. From the regression equation, what is the predicted grade point average when the standardized test score is 1090? (Round your answer to at least two decimal places.) | 4. What was the observed grade point average when the standardized test score was 1090?


Extracted text: A popular, nationwide standardized test taken by high-school juniors and seniors may or may not measure academic potential, but we can nonetheless attempt to predict performance in college from performance on this test. We have chosen a random sample of fifteen students just finishing their first year of college, and for each student we've recorded her score on this standardized test (from 400 to 1600) and her grade point average (from o to 4) for her first year in college. The data are shown below, with x denoting the score on the standardized test and y denoting the first- year college grade point average. The least-squares regression line for these data is y=0.9701+0.0016x. This line is shown in the scatter plot in Figure 1. Standardized Grade point test score, x average, y 1490 3.13 2.30 3.8L" 1090 3,6+ 1060 2.79 3.4 1200 2.78 3.2 850 2.16 1400 2.86 2.8 1270 2.93 2.6 890 2.59 2.4 1360 3.63 2.2 990 2.43 2- 950 2.15 1.8 1240 3.08 sdo odo 1obo 1bo 12bo 1360 1400 1560 1030 3.08 1490 3.57 Figure 1 800 2.41 Send data to Excel