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, Ex = 43, Ex? = 157.42, andEx;y, = 1697.80. Assume that the two variables are related according to the simple linear regression model.

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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,
Eyi = 572, y = 23,530, Ex¡ = 43, Ex = 157.42, andEx¡y; = 1697.80. Assume that the two variables are related
according to the simple linear regression model.
Statistical Tables and Charts
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, Eyi = 572, y = 23,530, Ex¡ = 43, Ex = 157.42, andEx¡y; = 1697.80. Assume that the two variables are related according to the simple linear regression model. Statistical Tables and Charts
Calculate the least squares estimate of the intercept. (Round your answer to 3 decimal places.)
i
Transcribed Image Text:Calculate the least squares estimate of the intercept. (Round your answer to 3 decimal places.) i
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