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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 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.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.4: Distributions Of Data
Problem 19PFA
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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.
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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