1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. B not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. D not rejected, and p-value for the test is smaller than 0.05. None of the suggested answers are correct.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Q1 Justified answer asap to get a upvote
1
In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is:
A
rejected, and p-value for the test is smaller than 0.05.
not rejected, and p-value for the test is greater than 0.05.
rejected, and p-value for the test is greater than 0.05.
not rejected, and p-value for the test is smaller than 0.05.
E
None of the suggested answers are correct.
2
In a multiple regression model, the adjusted R-Square
A
cannot be negative.
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Transcribed Image Text:1 In a goodness-of-fit-test, suppose that the value of the test statistic is 13.08 and degrees of freedom = 6. At the 5% significance level, the null hypothesis is: A rejected, and p-value for the test is smaller than 0.05. not rejected, and p-value for the test is greater than 0.05. rejected, and p-value for the test is greater than 0.05. not rejected, and p-value for the test is smaller than 0.05. E None of the suggested answers are correct. 2 In a multiple regression model, the adjusted R-Square A cannot be negative. CS Scanned with CamScanner
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