1. Fill in the blank: For these data, grade point averages that are lessthan the mean of the grade point averages tend to be paired withstandardized test scores that arethe mean of the standardizedChoose onetest scores.2. According to the regression equation, for an increase of one point instandardized test score, there is a corresponding increase of howmany points in grade point average?3. From the regression equation, what is the predicted grade pointaverage when the standardized test score is 1090? (Round youranswer to at least two decimal places.)| 4. What was the observed grade point average when the standardizedtest score was 1090? A popular, nationwide standardized test taken by high-school juniors andseniors may or may not measure academic potential, but we cannonetheless attempt to predict performance in college from performanceon this test.We have chosen a random sample of fifteen students just finishing theirfirst year of college, and for each student we've recorded her score onthis 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, withx denoting the score on the standardized test and y denoting the first-year college grade point average. The least-squares regression line forthese data is y=0.9701+0.0016x. This line is shown in the scatter plot in Figure1.StandardizedGrade pointtest score, xaverage, y14903.132.303.8L"10903,6+10602.793.412002.783.28502.1614002.862.812702.932.68902.592.413603.632.29902.432-9502.151.812403.08sdo odo 1obo 1bo 12bo 1360 1400 156010303.0814903.57Figure 18002.41Send data to Excel

1. It is "Greater than" 2. Slope = 0.0016

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 Choose one the mean of the standardized 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 O test score was 1090?

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 Choose one the mean of the standardized 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 O test score was 1090?

Holt Mcdougal Larson Pre-algebra: Student Edition 2012

1st Edition

ISBN:9780547587776

Author:HOLT MCDOUGAL

Publisher:HOLT MCDOUGAL

Chapter11: Data Analysis And Probability

Section: Chapter Questions

Problem 8CR

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