For this assignment, you will use the dataset Children_Lung.csv. The data contains a biomarker that is associated with lung volume in randomly selected and unrelated children ages 6-22 who were seen in the Childhood Respiratory Disease Study in 1980 in East Boston, Massachusetts. In this assignment, we will explore the association between a child’s BMI and biomarker lung volume through simple linear regression while checking model validity. The table below describes the variables in the dataset.
Name |
Description |
Coding/Unit |
Type |
ID |
Subject ID |
|
Numeric |
Sex |
Sex of child |
1= male, 0=female |
Numeric |
Age |
Age of child |
Years |
Numeric |
Lung_v |
Biomarker associated with lung volume |
Litres |
Numeric |
BMI |
BMI of child |
kg/m2 |
Numeric |
Asthma |
Asthma status of child |
1=asthma, 0=no asthma |
Numeric |
1. Use SAS to plot histograms of Lung_v and BMI. Be sure to include these histograms in your answer. Assess whether you think the distributions are normally distributed. (2 points)
2. Perform simple linear regression analysis with Lung_v as your dependent variable and BMI as your independent variable and answer the following questions: (6 points)
a) State the null and alternative hypotheses.
b) Report the test statistic and degrees of freedom.
c) Using the p-value and α=0.05, give a one sentence conclusion on whether Lung_v is significantly associated with BMI.
3. Using the plots provided by SAS, assess whether or not the following assumptions are met. Be sure to provide EVIDENCE of your conclusions (6 points):
a) Normality
b) Homoscedasticity
c) Linearity
4. Perform a simple logistic regression predicting asthma from the sex of the child. [6 points]
a. Report the null and alternative hypotheses.
b. What is the test statistic?
c. Report the p-value and your conclusion regarding the relationship between sex and asthma status of the child. What parameter quantifies the relationship?
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