An article presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14, Eyi = 572, E vỉ = 23530, x; = 43, x} = 157.42, and x;y; = 1697.80. Assume that the two variables are related according to the simple linear regression model. Round your answers to 3 decimal places. (a) Test for significance of regression using a = 0.05. (b) Estimate o². i (c) In this model, what is the standard error of the intercept? i What is the standard error of the slope? i Statictical Tables and Chartc

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An article presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary
quantities are n = 14, y; = 572, vỉ = 23530, x; = 43, x} :
= 157.42, and > x;y; = 1697.80. Assume that the two
variables are related according to the simple linear regression model.
Round your answers to 3 decimal places.
(a) Test for significance of regression using a = 0.05.
(b) Estimate o².
i
(c) In this model, what is the standard error of the intercept?
i
What is the standard error of the slope?
i
Statictical Tablec and Chartc
Transcribed Image Text:An article presented data on compressive strength x and intrinsic permeability y of various concrete mixes and cures. Summary quantities are n = 14, y; = 572, vỉ = 23530, x; = 43, x} : = 157.42, and > x;y; = 1697.80. Assume that the two variables are related according to the simple linear regression model. Round your answers to 3 decimal places. (a) Test for significance of regression using a = 0.05. (b) Estimate o². i (c) In this model, what is the standard error of the intercept? i What is the standard error of the slope? i Statictical Tablec and Chartc
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