Under hypertensive patients, the researcher will consider the heartbeat and pressure. These are the core metrics that can be used in the assessment of a patient with heart conditions. By having the major variables, it will be easy for the researcher to do data collection and analysis (Saha & Paul, 2020). Therefore, under this objective the researcher will use regression analysis to analyze the relationship between heartbeat and pressure to the causes of hypertension.
Satisfaction is one of the key elements in conducting study. To test the satisfaction level, the researcher will have to apply a questionnaire and test if the patients are likely to return to the services. Alternatively, they can look at the ratings they give on the website or the likelihood of giving a referral. In this assessment regression analysis will be applied.
The level of medication adherence is examined based on the reaction of the patients with the drugs given. For instance, under this section, the researcher will assess the number of patients with side effects on the medications and those who do not follow the treatments. The two variables of measurements will give a clear output on the research through regression analysis.
The researcher must assess the number of patients affected by antihypertensive medication adherence. For example, the major factors attributed to the condition and how it can be analyzed will be identified. Moreover, the data collected will be classified into different groups based on the features. Therefore, the researcher will need to survey the number of patients affected to develop various recommendations about the study.
During the final representation of these data, line graphs and scatter plots will be applied. Line graphs give an easy method of comparing the variables to assess the existence of the relationship. Graphs make the data presentable and appealing to the audience (Saha & Paul, 2020). Hence, this data will be presented in graphs and tables to make the process of analysis easy Therefore, this study will be analyzed by correlation and regression.
Reference
Saha, I., and Paul, B. (2020). Essentials of biostatistics & research methodology. Bhawani Dutta Lane, India: Academic Publishers.