a. How many observations does the sample contain? b. What is the chi-square value for the likelihood ratio? What is being tested? Is the test significant? What does a significant result mean? c. Write a sentence interpreting the relationship between preterm labor and low birth rate. Include a likelihood ratio and confidence interval of 95% in your interpretation.
a. How many observations does the sample contain? b. What is the chi-square value for the likelihood ratio? What is being tested? Is the test significant? What does a significant result mean? c. Write a sentence interpreting the relationship between preterm labor and low birth rate. Include a likelihood ratio and confidence interval of 95% in your interpretation.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
a. How many observations does the sample contain?
b. What is the chi-square value for the likelihood ratio? What is being tested? Is the test significant? What does a significant result mean?
c. Write a sentence interpreting the relationship between preterm labor and low birth rate. Include a likelihood ratio and confidence interval of 95% in your interpretation.
![. logistic low ptl
Logistic regression
Log likelihood = -113.94631
low Odds ratio
ptl
_cons
Std. err.
2.229563 .7071136
.3812923 .0667112
Note: _cons estimates baseline odds.
Z
P> |z|
0.011
2.53
-5.51 0.000
Number of obs =
LR chi2(1)
Prob > chi2
Pseudo R2
189
6.78
1.197452
.2706021
= 0.0092
= 0.0289
[95% conf. interval]
4.151273
.5372605](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fcdff506b-78ca-4fe2-a93e-6b1e4e0ed3fb%2Fb47beaa1-dfa4-48fa-98e4-e3434ba01ec6%2Fqz2frd9_processed.jpeg&w=3840&q=75)
Transcribed Image Text:. logistic low ptl
Logistic regression
Log likelihood = -113.94631
low Odds ratio
ptl
_cons
Std. err.
2.229563 .7071136
.3812923 .0667112
Note: _cons estimates baseline odds.
Z
P> |z|
0.011
2.53
-5.51 0.000
Number of obs =
LR chi2(1)
Prob > chi2
Pseudo R2
189
6.78
1.197452
.2706021
= 0.0092
= 0.0289
[95% conf. interval]
4.151273
.5372605
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