Health care.
The different demographic factors present different linear regressive results concerning Hypertension. Demography holds several variables, which have many other relationships. For example, from the article, age as the first focus in demography is not linearly correlated. This is because the percentage of Hypertension patients is more significant at the center of the graph, assuming a U-shaped curve. Living standards rates are Strongly negatively regressive. The data shows that the more monthly income an individual receives, the lower the Hypertension possibility percentage. Concerning comorbidity, we find that the higher the comorbidity, the higher the rates of Hypertension. This, therefore, presents a strongly positive linear regression. Consequently, the demographic data shows multiple linear regression relationships.
The weaknesses brought by the relationships come from the significant difference in the attainment of healthcare amongst different members of a population. For example, suppose an individual can quickly get access to medical care. In that case, the possibility of having many underlying diseases will be reduced, leading to a reduction in his potential of being a hypertension victim. Income plots a positive regressive relationship because the lower you earn, the fewer finances you have to spend on keeping your health. Therefore, a balance in health care provision is necessary to enable a strong relationship (Seber & Lee, 2012).
This study focuses on understanding the relationship of demographic individuals to health care attainment. It focuses on enabling the health department to get to make relevant changes trajected to helping the entire population.
Linear regression creates the perfect comparison that enables the proper required changes.
Combining the use of paper surveys and online questioners would be very effective for the convenience of the related sample. In this study, hospital physical surveys are a statistical method to research and analyze the analysis.
This study’s strength lies in the fact that t can access a variety of people, making it more dependable. It is also cost-effective because it only requires making and distributing the questioners. Some people can lie on the questioners making the method weak.
The evidence-based study focuses on patients’ values and preferences; therefore, this study brings out a study on the demographic population to enable the proper decision on the best solution to the particular medical condition.
References
Seber, G. A., & Lee, A. J. (2012). Linear regression analysis. Google Books. https://books.google.com/books?hl=en&lr=&id=X2Y6OkXl8ysC&oi=fnd&pg=PR5&dq=linear+regression&ots=selPx5iNps&sig=siYVQaSYoHlgd_AyZ6c4XOd9esM
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