HLT 362V Statistics Module 5 Exercise 14 and 19 (80points)

HLT362v Date 1/19/17 Section EXERCISE 14 Understanding Simple Linear Regression 1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formulae under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer. The APLS UK formula overestimates the weight 10-25.4% as they are using the APLS revised formula, and alpha of 0.05 multiplied by age in months and adding 4 inches. 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. y=0.502 (9) + 3.161 y= 4.518 + 3.161 y= 7.679 kg at 9 mths of age 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. y=0.502 (2) +3.161 y= 1.004 + 3.161 y= 4.165 kg at 2 mths of age 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. y intercept is 7.241, slope is 0.176. (y intercept = weight in kg, slope is 0.176 x age in months)