The following table represents systolic and diastolic blood pressure measurements of 40 females.

A) Use the Excel Analysis ToolPak to find the linear correlation coefficient for the systolic and diastolic measurements.

B) Use the Excel Analysis ToolPak to determine the linear regression equation that uses the systolic pressure to predict the diastolic pressure.

C) What is the best predicted value for diastolic pressure given that a woman has a systolic level of 100?

Module 5 Exercise 27 Simple Linear Regression

What are the independent and dependent variables in Figures 2, A, B, and C? How would you describe the relationship between the variables in Figures 2, A, B, and C?

What are the independent and dependent variables in Figures 3, A, B, and C? How would you describe the relationship between the variables in Figures 3, A, B, and C?

Was there a significant difference in the y intercept for the lines of best fi t in Figure 2 from the y intercept for the lines of best fi t in Figure 3? Provide a rationale for your answer.

? represents the predicted value of y calculated using the equation ? a bx. In Figure 2, the formula for SBP is ? 43.2 0.17x. Identify the y intercept and the slope in this formula. What does x represent in this formula?

In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 43.2 0.17x. If the value of x is postnatal age of 30 hours, what is the value for ? or SBP for neonates ?1,000 grams? Show your calculations. In the legend beneath Figure 2, the authors give an equation indicating that systolic blood pressure is SBP 50.3 0.12x. If the value of x is postnatal age of 30 hours, what is the value for ? or SBP for neonates 1,0011,500 grams? Show your calculations.

Using the values a 500 and b 20 in Figure 27-2, what is the predicted birth weight in grams for an infant at 36 weeks of gestation?

Compare the SBP readings you found in Questions 5 and 6. Explain the difference in these two readings.

In the legend beneath Figure 2, the authors give an equation indicating that diastolic blood pressure is DBP 25.8 0.13x. If the value of x is postnatal age of 30 hours, what is the value for ? for neonates ?1,000 grams? Show your calculations.

In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. If the value of x is postnatal age of 30 hours, what is the value for ? for neonates 1,0011,500 grams? Show your calculations.

In the legend beneath Figure 3, the authors give an equation indicating that diastolic blood pressure is DBP 30.4 0.11x. How different is the DBP when the value of x is postnatal age of 60 hours versus the 30 hours examined in Question 9?

Module 5 Exercise 40

According to the Introduction, what categories were reported to be statistically significant?

In Table 1, is the No. in household reported as statistically significant among the three groups (uninsured, Medicaid, and privately insured)? Provide a rationale for your answer.

Should the null hypothesis for Marital Status (%) be rejected? Provide a rationale for your answer.

How many null hypotheses were rejected in the Salsberry (2003) study? Provide a rationale for your answer.

Does Marital Status or Education (of adults) have a greater statistically significant difference among the three groups (uninsured, Medicaid, or privately insured)? Provide a rationale for your answer.

Was there a significant difference in Working status for the three levels of insurance (uninsured, Medicaid enrolled, and privately insured)? Provide a rationale for your answer.

State the null hypothesis for level of insurance and Gender% female.

Should the null hypothesis for Question 7 be accepted or rejected? Provide a rationale for your answer.

In your own opinion, were the outcomes of this study what you expected?

In your own opinion, should the results of this study be generalized to other State Childrens Health Insurance Programs (SCHIPs)? Provide a rationale for your answer.

Discussion Questions

Now that you are familiar with the basic concepts of statistics, what are some examples of when you have seen or heard statistics used inappropriately?