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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Transcribed Image Text: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
T
Constant
-0.242
2.429
-0.09
0.929
Diameter
0.7905
0.1471
5.57
0.001
S -
4.07980
R-Sq -
86.18
(a) Minitab calls the explanatory variable the predictor variable. Which is the predictor variable, the diameter of the pot or
the height?
O diameter
O 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
O Ho: B = 0; H,: B# 0
O Ho: B = 0; H;: ß < 0
O Ho: B# 0; H1: ß = 0
Ho: B = 0; H1: ß > 0
Based on the P-value in the printout, do we reject or fail to reject the null hypothesis for a = 0.01?
O Reject the null hypothesis. There is sufficient evidence that ß differs from 0.
O Fail to reject the null hypothesis. There is insufficient evidence that ß differs from 0.
O
Fail to reject the null hypothesis. There is sufficient evidence that ß differs from 0.
O Reject the null hypothesis. There is insufficient evidence that ß differs from 0.
(d) Recall that the t value and resulting P-value of the slope b equal the t value and resulting P-value of the corresponding
correlation coefficient r. To find the value of the sample correlation coefficient r, take the square root of the "R-Sq" value
shown in the display. What is the value of r? (Round your answer to three decimal places.)
Consider a two-tailed test for r. Based on the P-value shown in the Minitab display, is the correlation coefficient significant
at the 1% level of significance?
ONo, the correlation coefficient is not significant at the a = 0.01 level because the P-value s a.
O Yes, the correlation coefficient is significant at the a = 0.01 level because the P-value > a.
O Yes, the correlation coefficient is significant at the a = 0.01 level because the P-value < a.
O No, the correlation coefficient is not significant at the a = 0.01 level because the P-value > a.
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