The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for 10 randomly selected years. The following data should be used to answer the question that follows. n = 10 Ex = 36.19 Ex² = 134.17 2.9 s x s 6.2 Ey = 774.7 Ey² = 60739.23 Exy = 2832.21 %3D Before the standard error of regression, se , can be calculated, it is necessary to calculate SSyy. Enter the value for SSy accurate to the nearest tenth.
The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for 10 randomly selected years. The following data should be used to answer the question that follows. n = 10 Ex = 36.19 Ex² = 134.17 2.9 s x s 6.2 Ey = 774.7 Ey² = 60739.23 Exy = 2832.21 %3D Before the standard error of regression, se , can be calculated, it is necessary to calculate SSyy. Enter the value for SSy accurate to the nearest tenth.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 6SGR
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Question
![The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for
10 randomly selected years. The following data should be used to answer the question that
follows.
n = 10
Ex = 36.19
Ex² = 134.17
2.9 < x s 6.2
Ey = 774.7 Ey² = 60739.23
Exy = 2832.21
%3D
Before the standard error of regression, se , can be calculated, it is necessary to calculate SSyy.
Enter the value for SSw accurate to the nearest tenth.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fea9ac6d4-20be-45fb-b2a2-8b6083833f68%2Fa7ca5f77-9bc9-4994-8957-35bf08ff066c%2Fer9c10i_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The price X (dollars per pound) and consumption y (in pounds per capita) of beef were samples for
10 randomly selected years. The following data should be used to answer the question that
follows.
n = 10
Ex = 36.19
Ex² = 134.17
2.9 < x s 6.2
Ey = 774.7 Ey² = 60739.23
Exy = 2832.21
%3D
Before the standard error of regression, se , can be calculated, it is necessary to calculate SSyy.
Enter the value for SSw accurate to the nearest tenth.
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