Suppose the simple linear regression model, Y; = Bo + B1 x; + E;, is used to explain the relationship between x and y. A random sample of n = 10 values for the explanatory variable (x) was selected and the corresponding values of the response variable (y) were observed. The summary statistics were: Σο-8, Συ- 10, Σ-9.5, Σ-7.4,Συ?- 20

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.EA: Extended Application Using Extrapolation To Predict Life Expectancy
Problem 5EA
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Suppose the simple linear regression model, Y; = Bo + B1 a; + Ej, is used to explain the relationship between x and y.
A random sample of n
10 values for the explanatory variable (x) was selected and the corresponding values of the
response variable (y) were observed. The summary statistics were:
Σ.8, Συ- 10 , Σα,y 9.5,
Σ-7.4, Σ-20
Transcribed Image Text:Suppose the simple linear regression model, Y; = Bo + B1 a; + Ej, is used to explain the relationship between x and y. A random sample of n 10 values for the explanatory variable (x) was selected and the corresponding values of the response variable (y) were observed. The summary statistics were: Σ.8, Συ- 10 , Σα,y 9.5, Σ-7.4, Σ-20
5. What is the value of the coefficient of determination, R2 ?
0.745
O 0.563
O 0.256
0.225
Transcribed Image Text:5. What is the value of the coefficient of determination, R2 ? 0.745 O 0.563 O 0.256 0.225
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