U08A1 Correlation and Simple Regression Tables Essay

U08A1 Correlation and Simple Regression Tables Essay

u08a1 Correlation and Simple Regression Tables Template

Use this data description for both the correlation and the simple regression tables.

In the beginning of a health intervention program, the participants were given extensive measurements of body composition. These measurements were the following:

• Percentage of body fat (BODYFAT).
• Height (cm).
• Weight (kg).
• Circumference measures (cm) of the neck, chest, abdomen, hip, thigh, and biceps.
• BMI and Waist/Hip ratio were calculated, using the abdominal circumference as the waist.
• Age was also recorded.

For this study, no demographic information was recorded.

Correlation Table

Write out your six variables here. Change the name of variable x to the variable name. Enter the correlation coefficient in the cell. Use an asterisk (*) to label significant finds (p ( 0.05). Italicize Spearman correlation coefficients.

	Variable 4	Variable 5	Variable 6
Variable 1
Variable 2
Variable 3

After you are done with the correlation table, you will chose the Weight, Abdomen, BMI, Waist/Hip Ratio, and Age variables to regress on BODYFAT on the following pages.

Report Results and Interpretation of Regression Analysis

Use the results of the regression analysis to predict the percentage of body fat if a person weighs 60 kg, has an abdominal circumference of 88 cm, a BMI of 22.6, and Waist/Hip ratio 1.3.

Regression Analysis Table

Regression of weight, abdomen, BMI, W/H ratio, and age on percentage of body fat:

R

R2

SEE

df

F

p

b

SE

(

t

p

L

U

Weight

Abdomen

BMI

Waist/Hip ratio

Age

Interpretation of Regression

Predicted values of body fat percentage

Variable	Known amount	% Body fat’ (predicted)
Weight (kg)	60
Abdomen (cm)	88
BMI (kg/m2)	22.6
Waist/Hip ratio	1.3

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