The following data give the high school GPAs (x) and college GPAs (y) for a random sample of 13 students. Ꮖ Y 4 2.9 1.4 3.2 4 1.8 0.5 0.5 2.6 2.7 3.7 3.4 3.7 0.6 1.8 1.4 0.7 1.1 0.9 1.5 2 2.2 3.7 0.9 1.7 3.6 Determine the least squares regression line for the data. Round values to four decimal places, if necessary. ŷ Determine the correlation coefficent. Round the solution to four decimal places, if necessary. r = Use the model to predict the college GPA of a student with a 2.5 high school GPA. Round the solution to the nearest tenth, if necessary.
The following data give the high school GPAs (x) and college GPAs (y) for a random sample of 13 students. Ꮖ Y 4 2.9 1.4 3.2 4 1.8 0.5 0.5 2.6 2.7 3.7 3.4 3.7 0.6 1.8 1.4 0.7 1.1 0.9 1.5 2 2.2 3.7 0.9 1.7 3.6 Determine the least squares regression line for the data. Round values to four decimal places, if necessary. ŷ Determine the correlation coefficent. Round the solution to four decimal places, if necessary. r = Use the model to predict the college GPA of a student with a 2.5 high school GPA. Round the solution to the nearest tenth, if necessary.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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![The following data give the high school GPAs (x) and college GPAs (y) for a random sample of 13 students.
Ꮖ
Y
4 2.9 1.4 0.5 0.5 2.6 2.7 3.7 3.4 3.7 0.6 1.8
3.2 4 1.8 0.7 1.1 0.9 1.5 2 2.2 3.7 0.9 1.7 3.6
1.4
Determine the least squares regression line for the data. Round values to four decimal places, if necessary.
Determine the correlation coefficent. Round the solution to four decimal places, if necessary.
r =
Use the model to predict the college GPA of a student with a 2.5 high school GPA. Round the solution to the
nearest tenth, if necessary.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F02b46b5a-6f45-43c4-a4bf-aa430f919cef%2F09b66105-e55f-4ba0-950d-391ffcdb280c%2Fgs34a9c_processed.png&w=3840&q=75)
Transcribed Image Text:The following data give the high school GPAs (x) and college GPAs (y) for a random sample of 13 students.
Ꮖ
Y
4 2.9 1.4 0.5 0.5 2.6 2.7 3.7 3.4 3.7 0.6 1.8
3.2 4 1.8 0.7 1.1 0.9 1.5 2 2.2 3.7 0.9 1.7 3.6
1.4
Determine the least squares regression line for the data. Round values to four decimal places, if necessary.
Determine the correlation coefficent. Round the solution to four decimal places, if necessary.
r =
Use the model to predict the college GPA of a student with a 2.5 high school GPA. Round the solution to the
nearest tenth, if necessary.
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