Use your browser to download your SPSS data based on your matric number from the following link;

Click HERE and save it on your Desktop.

Either right-click on the downloaded file and select SPSS, or open SPSS, then click open file, then select the downloaded file.

Then do the following analysis on the data using SPSS then submit your answers via the LINK sent earlier to your email.

A study to identify factors that can cause small for gestational age (SGA) was conducted. Among the factors studied were the mothers’ body mass index (BMI). It is believed that mothers with lower BMI were of higher risk to get SGA babies.

1. Create a new variable mBMI (Mothers’ Body Mass Index) from the mothers’ HEIGHT (in metre) & WEIGHT (first trimester weight in kg). mBMI = weight in kg/(height in metre)². Calculate the following for mBMI;

• Mean
• Standard deviation

2. Create a new variable OBESCLAS (Classification of Obesity) from mBMI. Use the following cutoff point;

• <20 = Underweight
• 20 – 24.99 = Normal
• 25 or larger = Overweight

Create a frequency table for OBESCLAS.

3. Conduct the appropriate statistical test to test whether there is any association between OBESCLAS (Underweight/Normal/Overweight) and OUTCOME.

4. Conduct the appropriate statistical test to test whether there is any association between BMI and OUTCOME.

5. Conduct the appropriate statistical test to find any association between OBESCLAS (Underweight/Normal/Overweight) and BIRTHWGT.

6. Assuming that both variables mBMI & BIRTHWGT are normally distributed,

• conduct an appropriate statistical test to prove the association between the two variables.
• Demonstrate the association using the appropriate chart. Determine the coefficient of determination.

7. Conduct Simple Linear Regression using BIRTHWGT as the dependent variable. Try to come out with a formula that will predict the baby’s birth weight based on the mother’s BMI.

y = a + bx

Save your SPSS sav data file as a new SPSS file and save it somewhere safe as evidence/backup, in case of issues later.

Upon finishing, please click the SUBMIT button to submit your answers.