An article in Concrete Research ("Near Surface Characteristics of Concrete: Intrinsic Permeability," Vol. 41, 1989), presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14, Ey = 572, y = 23,530, x¡ = 43, Ex} = 157.42, and x¡y¡ = 1697.80. Assume that the two variables are related according to the simple linear regression model. %3D Statistical Tables and Charts
An article in Concrete Research ("Near Surface Characteristics of Concrete: Intrinsic Permeability," Vol. 41, 1989), presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14, Ey = 572, y = 23,530, x¡ = 43, Ex} = 157.42, and x¡y¡ = 1697.80. Assume that the two variables are related according to the simple linear regression model. %3D Statistical Tables and Charts
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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Transcribed Image Text:An article in Concrete Research ("Near Surface Characteristics of Concrete: Intrinsic Permeability," Vol. 41, 1989), presented data on
compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14,
Σν-572, Σγ?
according to the simple linear regression model.
- 23,530, Σx 43, Σ? 157.42, and Σ x)ν
= 1697.80. Assume that the two variables are related
Statistical Tables and Charts

Transcribed Image Text:Use the equation of the fitted line to predict what permeability would be observed when the compressive strength is x = 4.3.
(Round your answer to 2 decimal places.)
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