EXERCISE 14 Questions to Be Graded

1. According to the study narrative and Figure 1 in the Flannigan et al. (2014) study, does the APLS UK formula under- or overestimate the weight of children younger than 1 year of age? Provide a rationale for your answer.
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.
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.
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.
5. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 3 years of age? Show your calculations.
6. Using the values a = 7.241 and b = 0.176 with the novel formula in Figure 2, what is the predicted weight in kilograms for a child 5 years of age? Show your calculations.
7. In Figure 3, some of the actual mean weights represented by blue line with squares are above the dotted straight line for the novel formula, but others are below the straight line. Is this an expected finding? Provide a rationale for your answer.
8. In Figure 3, the novel formula is (weight in kilograms = (0.331 × Age in months) − 6.868. What is the predicted weight in kilograms for a child 10 years old? Show your calculations.
9. Was the sample size of this study adequate for conducting simple linear regression? Provide a rationale for your answer.
10. Describe one potential clinical advantage and one potential clinical problem with using the three novel formulas presented in Figures 1, 2, and 3 in a PICU setting.

EXERCISE 29 Questions to Be Graded

1. If you have access to SPSS, compute the Shapiro-Wilk test of normality for the variable age (as demonstrated in Exercise 26). If you do not have access to SPSS, plot the frequency distributions by hand. What do the results indicate?
2. State the null hypothesis where age at enrollment is used to predict the time for completion of an RN to BSN program.
3. What is b as computed by hand (or using SPSS)?
4. What is a as computed by hand (or using SPSS)?
5. Write the new regression equation.
6. How would you characterize the magnitude of the obtained R2 value? Provide a rationale for your answer.
7. How much variance in months to RN to BSN program completion is explained by knowing the student's enrollment age?
8. What was the correlation between the actual y values and the predicted y values using the new regression equation in the example?
9. Write your interpretation of the results as you would in an APA-formatted journal.
10. Given the results of your analyses, would you use the calculated regression equation to predict future students' program completion time by using enrollment age as x? Provide a rationale for your answer.

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