According to the graphs and analysis of quantitative variables, which of the following statements is TRUE? The patient's sex with heart failure do...

According to the graphs and analysis of quantitative variables, which of the following statements is TRUE?

The patient's sex with heart failure does not determine whether they are more prone to death.
The patient's smoking habit with heart failure does not determine whether they are more prone to death.
Patients with heart failure at the age of 65 are more prone to death than patients at the age of 60.
The level of the CPK enzyme does not determine the mortality of the patient with heart failure.
The heart pumping (percentage of blood leaving it in each contraction) influences the mortality of the patient with heart failure. The patient with a blood pumping of 30% is more prone to death than one of 38%.
The level of platelets in the patient with heart failure does not determine whether they are more prone to death.
An increase in the level of creatinine in the patient's blood with heart failure makes them more prone to death.
A decrease in the level of sodium in the patient's blood with heart failure makes them slightly more prone to death.
Patients who died did so around 50 days of observation, while others continued to live after 150 days of observation.
a) Only statements 1, 2, and 3 are true.
b) Only statements 4, 5, and 6 are true.
c) Only statements 7, 8, and 9 are true.
d) All statements are true.