Answer:
c. This demonstrates correlation, not causation
Step-by-step explanation:
Correlation is a statistical measure of co- relationship between two variables, their interdependent direction(s) of change . It doesn't establish any cause effect relationship between the variables .
Regression is a statistical measure, showing implied effect of independent (causal) variable on dependent (effected variable).
Kent's health research - relationship between sedentary & obesity : Concluding that - sedentary lifestyle in early childhood was correlated with increased obesity in late childhood. It implies that level of physical activity (exercise) is negatively correlated to obesity - higher physical activity (exercise), lesser obesity and lower physical activity (exercise) , more obesity.
But above explanation just states about the co- movement of exercise level, obesity level. It doesn't state anything about cause effect relationship of obesity (dependent variable) being led by less exercise (independent variable) - as highlighted in statement 'obese adults did not engage in enough exercise in early childhood'