Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from a study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data.PredictorCoefSE CoefTPConstant-0.2332.429-0.090.929Diameter0.79480.16715.330.001S = 4.10980R-Sq = 80.3% (a) The standard error Se of the linear regression model is given in the printout as "S." What is the value of Se? (b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is Se Σx2 − 1n(Σx)2. From the Minitab display, what is the value of the standard error for the slope b?

Name: Prehistoric pottery vessels are usually found as sherds (broken pieces
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Description: Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from a study provides data relating x = body diameter in centimeters and y = height in centimeter

Answered: Image /qna-images/answer/d705c3f3-e748-4c59-bb33-f202b53c9b82.jpgThe standard error Se =4.10980the standard error for the slope b = 0.1671

Answered: Prehistoric pottery vessels are usually…

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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Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. Information taken from a study provides data relating x = body diameter in centimeters and y = height in centimeters of prehistoric vessels reconstructed from sherds found at a prehistoric site. The following Minitab printout provides an analysis of the data.

Predictor	Coef	SE Coef	T	P
Constant	-0.233	2.429	-0.09	0.929
Diameter	0.7948	0.1671	5.33	0.001
S = 4.10980	R-Sq = 80.3%

(a) The standard error S_e of the linear regression model is given in the printout as "S." What is the value of S_e?

(b) The standard error of the coefficient of the predictor variable is found under "SE Coef." Recall that the standard error for b is

S_e

Σx² −

(Σx)²

From the Minitab display, what is the value of the standard error for the slope b?

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