Name: Amarbir Kaur Gill.
Class: HLT-362V Applied Statistics for Health Care
Professionals.
Date: June 13, 2017
EXERCISE 14: Questions to be graded
1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does
the APLSUK formula under- or overestimate the weight of children younger than 1 year of
age? Provide a rationale for your answer.
The APLS UK formula significantly overestimates the mean weight of children
under 1 year admitted to PICU by between 10% [and] 25.4%” (Flannigan et al., 2014, p.
928). Looking at Figure 1 it’s apparent that the predicated values/weight for each age is much
higher than the actual weight by 10%. Therefore, the researchers concluded that the APLS UK
formulas were not appropriate for estimating the weight of children admitted to the PICU.
2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the
predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations.
NOVEL FORMULA “WEIGHT IN KG = (0.502(a) × AGE IN MONTHS) + 3.161(b)”
From this It is = (0.502 * 9) + 3.161 = 7.679 kg
3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the
predicted weight in kilograms for a child at 2 months of age? Show your calculations.
NOVEL FORMULA “WEIGHT IN KG = (0.502(a) × AGE IN MONTHS) + 3.161(b)”
From this It is = (0.502 * 2) + 3.161 = 4.165 kg
4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in
months) + 7.241. Identify the y intercept and the slope in this formula.
The algebraic equation for the regression line of best fi t is y = bx + a , where:
y = dependent variable (outcome)
x = independent variable (predictor)
b = slope of the line (beta, or what the increase in value is along the x-axis for every unit of
increase in the y value), also called the regression coefficient.
a = y −intercept (the point where the regression line intersects the y-axis also called the
regression)
In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in
months) + 7.241. The y intercept is 7.241 and the slope in this formula is 0.176.
This study source was downloaded by 100000850699744 from CourseHero.com on 08-20-2022 04:49:33 GMT -05:00
https://www.coursehero.com/file/25563483/Assignment-Exercise-14-and-19docx/
Class: HLT-362V Applied Statistics for Health Care
Professionals.
Date: June 13, 2017
EXERCISE 14: Questions to be graded
1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does
the APLSUK formula under- or overestimate the weight of children younger than 1 year of
age? Provide a rationale for your answer.
The APLS UK formula significantly overestimates the mean weight of children
under 1 year admitted to PICU by between 10% [and] 25.4%” (Flannigan et al., 2014, p.
928). Looking at Figure 1 it’s apparent that the predicated values/weight for each age is much
higher than the actual weight by 10%. Therefore, the researchers concluded that the APLS UK
formulas were not appropriate for estimating the weight of children admitted to the PICU.
2. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the
predicted weight in kilograms (kg) for a child at 9 months of age? Show your calculations.
NOVEL FORMULA “WEIGHT IN KG = (0.502(a) × AGE IN MONTHS) + 3.161(b)”
From this It is = (0.502 * 9) + 3.161 = 7.679 kg
3. Using the values a = 3.161 and b = 0.502 with the novel formula in Figure 1, what is the
predicted weight in kilograms for a child at 2 months of age? Show your calculations.
NOVEL FORMULA “WEIGHT IN KG = (0.502(a) × AGE IN MONTHS) + 3.161(b)”
From this It is = (0.502 * 2) + 3.161 = 4.165 kg
4. In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in
months) + 7.241. Identify the y intercept and the slope in this formula.
The algebraic equation for the regression line of best fi t is y = bx + a , where:
y = dependent variable (outcome)
x = independent variable (predictor)
b = slope of the line (beta, or what the increase in value is along the x-axis for every unit of
increase in the y value), also called the regression coefficient.
a = y −intercept (the point where the regression line intersects the y-axis also called the
regression)
In Figure 2, the formula for calculating y (weight in kg) is Weight in kg = (0.176 × Age in
months) + 7.241. The y intercept is 7.241 and the slope in this formula is 0.176.
This study source was downloaded by 100000850699744 from CourseHero.com on 08-20-2022 04:49:33 GMT -05:00
https://www.coursehero.com/file/25563483/Assignment-Exercise-14-and-19docx/
