Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. An archaeological 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. SE Coef Predictor Coef Constant -0.242 2.429 -0.09 0.929 Diameter 0.7905 0.1471 5.57 0.001 4.07980 R-Sq - 86.1% (a) Minitab calls the explanatory variable the predictor variable. Which is the predictor variable, the diameter of the pot or the height? O diameter height (b) For the least-squares line ý = a + bx, what is the value of the constant a? What is the value of the slope b? (Note: The slope is the coefficient of the predictor variable.) Write the equation of the least-squares line. a = b (c) The P-value for a two-tailed test corresponding to each coefficient is listed under P. The t value corresponding to the coefficient is listed under T. What is the P-value of the slope? What are the hypotheses for a two-tailed test of ß = 0? Ho: ß < 0; Hq: ß = 0 Ho: ß = 0; Hq: ß 0 O Ho: B = 0; H:B < 0 O Ho: B# 0; H: B = 0 Ho: B = 0; H: B > 0 Based on the P-value in the printout, do we reject or fail to reject the null hypothesis for a = 0.01? Reject the null hypothesis. There is sufficient evidence that ß differs from 0. Fail to reject the null hypothesis. There is insufficient evidence that 8 differs from 0. Fail to reject the null hypothesis. There is sufficient evidence that ß differs from 0. Reject the null hypothesis. There is insufficient evidence that ß differs from 0.
Prehistoric pottery vessels are usually found as sherds (broken pieces) and are carefully reconstructed if enough sherds can be found. An archaeological 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. SE Coef Predictor Coef Constant -0.242 2.429 -0.09 0.929 Diameter 0.7905 0.1471 5.57 0.001 4.07980 R-Sq - 86.1% (a) Minitab calls the explanatory variable the predictor variable. Which is the predictor variable, the diameter of the pot or the height? O diameter height (b) For the least-squares line ý = a + bx, what is the value of the constant a? What is the value of the slope b? (Note: The slope is the coefficient of the predictor variable.) Write the equation of the least-squares line. a = b (c) The P-value for a two-tailed test corresponding to each coefficient is listed under P. The t value corresponding to the coefficient is listed under T. What is the P-value of the slope? What are the hypotheses for a two-tailed test of ß = 0? Ho: ß < 0; Hq: ß = 0 Ho: ß = 0; Hq: ß 0 O Ho: B = 0; H:B < 0 O Ho: B# 0; H: B = 0 Ho: B = 0; H: B > 0 Based on the P-value in the printout, do we reject or fail to reject the null hypothesis for a = 0.01? Reject the null hypothesis. There is sufficient evidence that ß differs from 0. Fail to reject the null hypothesis. There is insufficient evidence that 8 differs from 0. Fail to reject the null hypothesis. There is sufficient evidence that ß differs from 0. Reject the null hypothesis. There is insufficient evidence that ß differs from 0.
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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