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A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 470.5 with a standard deviation of 171.8, verbal scores had a mean 476 with a standard deviation of 187.6, and the correlation between verbal and math scores was r=0.786. Complete parts a through f below. .... a) What is the correlation? The correlation is (Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores. (Round to three decimal places as needed.) c) In general, what would a negative residual mean in this context? O A. A negative residual means the student has a higher verbal score than the linear model would predict. O B. A negative residual means the student has the exact verbal score that the linear model would predict. OC. A negative residual means the student has a lower verbal score than the linear model would predict. d) A person tells you her math score was 611..Predict her verbal score. The student is expected to have a verbal score of- (Round to three decimal places as needed.)

A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 470.5 with a standard deviation of 171.8, verbal scores had a mean 476 with a standard deviation of 187.6, and the correlation between verbal and math scores was r=0.786. Complete parts a through f below. .... a) What is the correlation? The correlation is (Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores. (Round to three decimal places as needed.) c) In general, what would a negative residual mean in this context? O A. A negative residual means the student has a higher verbal score than the linear model would predict. O B. A negative residual means the student has the exact verbal score that the linear model would predict. OC. A negative residual means the student has a lower verbal score than the linear model would predict. d) A person tells you her math score was 611..Predict her verbal score. The student is expected to have a verbal score of- (Round to three decimal places as needed.)

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 470.5 with a standard deviation of 171.8, verbal scores had a mean 476 with a standard deviation of 187.6, and the correlation between verbal and math scores was r=0.786. Complete parts a through f below. a) What is the correlation? The correlation is (Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores. (Round to three decimal places as needed.) c) In general, what would a negative residual mean in this context? O A. A negative residual means the student has a higher verbal score than the linear model would predict. O B. A negative residual means the student has the exact verbal score that the linear model would predict. OC. A negative residual means the student has a lower verbal score than the linear model would predict. d) A person tells you her math score was 611.Predict her verbal score. The student is expected to have a verbal score of (Round to three decimal places as needed.)
Transcribed Image Text:A group of high school seniors took a scholastic aptitude test. The resulting math scores had a mean 470.5 with a standard deviation of 171.8, verbal scores had a mean 476 with a standard deviation of 187.6, and the correlation between verbal and math scores was r=0.786. Complete parts a through f below. a) What is the correlation? The correlation is (Round to three decimal places as needed.) b) Write the equation of the line of regression predicting verbal scores from math scores. (Round to three decimal places as needed.) c) In general, what would a negative residual mean in this context? O A. A negative residual means the student has a higher verbal score than the linear model would predict. O B. A negative residual means the student has the exact verbal score that the linear model would predict. OC. A negative residual means the student has a lower verbal score than the linear model would predict. d) A person tells you her math score was 611.Predict her verbal score. The student is expected to have a verbal score of (Round to three decimal places as needed.)
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