Final answer:
The target variable from the medical dataset to predict the ten-year risk of CHD is 'd. Ten-year risk of CHD.' Other variables, such as age, gender, and diabetes status, are independent variables that can influence this outcome.
Step-by-step explanation:
In predicting the ten-year risk of coronary heart disease (CHD), the target variable is the one that the prediction is ultimately concerned with. Given the variables listed in the medical dataset, the answer would be: d. Ten-year risk of CHD. This is because the goal of the analysis is to determine the probability of the patient developing CHD within the next ten years. The other variables listed, such as age, gender, systolic blood pressure, heart rate, glucose, and whether or not the individual has diabetes, are predictor or independent variables that may influence the outcome but are not the outcome itself.
The older a person gets, their age becomes a significant factor in the risk for CHD. Moreover, Diabetes is another influential risk factor as it can lead to bodily changes that increase the risk for cardiovascular diseases. The inclusion of these variables in a dataset reflects an understanding that cardiovascular disease is multifactorial and heavily influenced by a combination of genetic, lifestyle, and environmental risk factors. The management of diabetes, a healthy lifestyle, and control of other modifiable risk factors can help in lowering the risk of developing CHD.