Homework 9

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Georgia Institute Of Technology *

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2400

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Health Science

Date

Dec 6, 2023

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docx

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6

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Name : Rebecca Fisher Collaborators 1 : Basic information Topics covered: Regression Assigned: 11/07 Due: 11/14 Submission: Please submit via Canvas. Submit one word file, with each problem starting on a new page. Put all code, figures, and work in the word document. Notes: We will deduct -.1 for each case of missing units. Please round all ANSWERS to 2 decimal places or 3 places for p values For problems 1 and 2, make sure to include: o Setup : State (1) all assumptions, (2) test(s) to be conducted, (3) formulas used, and (4) if appropriate the null and alternative hypothesis. o Calculation : Calculate the test statistic(s) and the p value(s) or interval estimates. o Interpretation : (1) state the result of your test using your hypotheses. (2) Explain the result of your test in terms of what it means in the question context. Problems Problem 1: BMI has been a gold standard for determining healthy weight. It is calculated from weight in kilograms divided by the square of your height in meters. One of the reasons that BMI has been the gold standard is the ease of obtaining the required measures. A clinical alternative is to determine body density based on underwater weighing techniques. These immersion methods allow direct measurement of body fat, for which one such method is described by Brozek. (1) see whether height and weight are good predictors of the Brozek percent body fat measurement in men. Description of columns below: Variable Description id Case Number broz Percent body fat using Brozek's equation, 457/Density - 414.2 density Density (gm/cm^3) age Age (yrs) weight Weight (lbs) height Height (inches) neck Neck circumference (cm) 1 Please list anyone you worked with on the homework. This uses the honor system. Remember that I encourage you to work together but that the work your turn in should be your own work.
chest Chest circumference (cm) abdomen Abdomen circumference (cm) "at the umbilicus and level with the iliac crest" hip Hip circumference (cm) thigh Thigh circumference (cm) knee Knee circumference (cm) ankle Ankle circumference (cm) biceps Extended biceps circumference (cm) forearm Forearm circumference (cm) wrist Wrist circumference (cm) "distal to the styloid processes" Immersion methods including Brozek’s method of measuring body fat are difficult and requires specific hardware. A researcher would like to know if there are two factors that better predict the Brozek percent body fat metric. (2) By conducting a multiple regression analysis with all independent variables, identify the 2 most significant factors that predict the Brozek percent body fat metric and q determine if the reduced is different than the complete model. We will deduct -.1 for each case of missing units. Please round all ANSWERS to 2 decimal places or 3 places for p values For problems 1 and 2, make sure to include: o Setup : State (1) all assumptions, (2) test(s) to be conducted, (3) formulas used, and (4) if appropriate the null and alternative hypothesis. o Calculation : Calculate the test statistic(s) and the p value(s) or interval estimates. Interpretation : (1) state the result of your test using your hypotheses. (2) Explain the result of your test in terms of what it means in the question context.
Part 1: Assumptions: Assume normal distribution Assume weight & height are good tests of Brozak’s body fat measurement. Hypothesis: H 0 = Weight & height are significant indicators of body fat H 1 = Weight & height are not significant indicators of body fat Test: Multi Regression Test on Excel Conclusion: P-value for weight and height is significantly less than .05, which shows that they significantly affect the body fat measurement. Because p-value is less than .05, we do not reject the null hypothesis. Therefore, weight & height are significant indicators of Brozak’s body fat measurement. Part 2: Part 2a Assumptions: Assume linear distribution Assume all variables have affect on body fat measurement. Hypothesis: H 0 = All variables are significant indicators of body fat H 1 = All variables are not significant indicators of body fat Test: Multi Regression Test on Excel
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Conclusion: P-value for intercept (representing all of the variables) = .34 ^ is > .05 so reject the null hypothesis that all the variables are significant factors Therefore, not all of the variables are significant indicators of body fat measurement. Analysis: The pvalue(showing significance) was very small Abdomen, Forearm, & Wrist. The coefficient(showing intensity) was largest for Abdomen, Thigh, & Forearm. Since Abdomen had high intensity & significance, it largest effect on the b.f.measurement, more testing needs to be done to confirm which second has the largest effect. Part 2b: Assumptions: Assume linear distribution Assume abdomen has significant effect on body fat measurement. Hypothesis: H 0 = Forearm is a significant indicator of body fat Wrist is a significant indicator of body fat Thigh is a significant indicator of body fat H 1 = Forearm is not a significant indicator of body fat Wrist is a not significant indicator of body fat
Thigh is a not significant indicator of body fat Test: Multi Regression Test on Excel Analysis: Forearm p-value is > .05 = reject null hypothesis. Pvalue for wrist(2.28E-08) & thigh(.007) < .05 = do not reject hypothesis Wrist had the lowest p-value = highest significance Conclusion: Forearm is not a significant indicator of body fat Wrist is a significant indicator of body fat Thigh is a significant indicator of body fat The abdomen & wrist measures are the most significant indicator for body fat measurement.
Part 3 Assumptions: Assume linear distribution Assume abdomen & wrist are 2 most significant factors on body fat measurement. Hypothesis: H 0 = Abdomen & wrist are more significant factors than weight & height. H 1 = Abdomen & wrist are not more significant factors than weight & height. Test: Multi Regression Test on Excel Analysis: Overall intercept pvalue for wrist & ab was .18 Overall intercept pvalue for weight & height was .0000101 W&H pvalue < Wrist & ab: reject null hypothesis Conclusion: Weight & height are more significant factors of body fat metric than abdomen & wrist measurements.
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