A study is conducted to determine if gender (0=female; 1= male) is associated with a diagnosis of Type 2 Diabetes Mellitus (t2dm: 0= absent; 1=present) on a group of patients, controlling for age. Results table are shown as below:Analysis of Maximum Likelihood Estimates Estimate Standard Error Test statisticp-valueExp(B)Intercept-12.77 1.9759 41.8176 <.0001----------------Gender0.410.124 10.9799 0.00091.5Age0.0948 0.0305 9.6883 0.00191.09What type of model is this, and why is this type of analysis appropriate in this case? Also, describe the finding: is gender associated with diagnosis of t2dm, why or why not (provide the test statistic and p-value)? Interpret the coefficient for gender and age.

Name: A study is conducted to determine if gender (0=female; 1= male) is ass
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Description: A study is conducted to determine if gender (0=female; 1= male) is associated with a diagnosis of Type 2 Diabetes Mellitus (t2dm: 0= absent; 1=present) on a group of patients, controlling for age. Results table are shown as below:Analysis of Maximum

This multiple Linear regression model. Because there are two factors, gender and age both are…

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A study is conducted to determine if gender (0=female; 1= male) is associated with a diagnosis of Type 2 Diabetes Mellitus (t2dm: 0= absent; 1=present) on a group of patients, controlling for age. Results table are shown as below:

Analysis of Maximum Likelihood Estimates

	Estimate	Standard Error	Test statistic	p-value	Exp(B)
Intercept	-12.77	1.9759	41.8176	<.0001	----------------
Gender	0.41	0.124	10.9799	0.0009	1.5
Age	0.0948	0.0305	9.6883	0.0019	1.09

What type of model is this, and why is this type of analysis appropriate in this case? Also, describe the finding: is gender associated with diagnosis of t2dm, why or why not (provide the test statistic and p-value)? Interpret the coefficient for gender and age.

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