Health Care
Autor: Rachel • February 19, 2018 • 589 Words (3 Pages) • 434 Views
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The mother’s height itself is not statistically significant (p= 0.103) and does not predict the son’s height.
Son’s height (y) = a + b1x1 + b2x2
Son’s height (y) = 40.163 + 0.507x1 - 0.089x
Question 2:
- By looking at the table, it is clear that the p-value for both the systolic and diastolic blood pressure is the same that is (p= 0.001), which means that according to the p-value, both of them are statistically significant. However, the chi-square value for systolic blood pressure (χ² = 141.4) is greater than the chi-square value for diastolic blood pressure (χ²= 80.2), which shows that the systolic blood pressure contributes more to the hypertension than the diastolic blood pressure. As far as comparison is concerned, since there are no standardized b-values, we cannot compare systolic and diastolic blood pressure.
- In order to estimate the effect of gender and current smoking on the predictability of hypertension, we need to calculate odds-ratio for both of these risk factors. Therefore, according to the odds ratio for gender [exp (B) = 0.776)], it is clear that the odds of hypertension are 0.776 times less for females compared to males (reference category), or in other words, females are 22.4% times less likely to develop hypertension than males. This is statistically significant with a p-value = 0.01. As far as current smoking is concerned, according to the odds-ratio [exp (B) = 1.386], it is evident that odds of hypertension are 1.386 times higher for current smokers than non-smokers and current smokers are 38.6% more likely to develop hypertension, assuming non-smokers as the reference category which is statistically significant with a p-value = 0.001.
- Since male is the reference category, gender is a categorical variable. The coefficient refers to the comparisons of the odds at two different level of predictor. The b- value of the risk factor gender is -0.2524, and the corresponding odds-ratio is (exp (B) = 0.776) that means women are 22.4% less likely to develop hypertension compared to males. The p-value indicates that it is statistically significant (p= 0.01).
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