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Compare p value to 0.05 is equivalent to compare the critical value (under p = 0.05) and the observed chi2.
Using a control of type I error 0.05, null hypothesis is accepted if p-value > 0.05.
Originally Posted by Mareah
Hi all
How can I interpret the result of homoscedastic regression??
The null is that model homoscedastic: constant
and prob >Chi2 is 0.0971
chi2(1) = 2.75
if (prob >Chi2) is greater than 0.05 (5%), do I accept the null ?
or do I compare the Chi from the test to a critical Chi?
and where do I get the critical values of Chi ??
(results is attached)
Thanks
Compare p value to 0.05 is equivalent to compare the critical value (under p = 0.05) and the observed chi2.
Using a control of type I error 0.05, null hypothesis is accepted if p-value > 0.05.
Yes, in other words the critical value is 2.75 with 1 degree of freedom, which translate to a p-value 0.0971. The p-value is > than the 0.05 level of significance, so you fail to reject the null hypothesis. You can also look up the p-value or critical value using a chi-square table, as long as you know the degrees of freedom.
Thank you all. That is very helpful.
I hope you can also help me about how should I present this finding in proper academic sentences (in a research paper), to show my understanding of these figures and to explain that I made my judgments of accepting the null on the basis of p-value and chi2.
is it correct to say:
null hypothesis is accepted as p-value is greater than 0.05.
or: as p-value is 0.097.
or: as p-value > chi-squared equals to 0.079
I wouldn't say it's accepted, it's just not rejected at the 5% level.
Yup,
Failed to reject the null hypothesis at 0.05 level of significance.
You typically use this phraseology because your test could have been underpowered or there could be sample characteristic issues
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