The correct answer is True.
Accurate prediction depends heavily on measuring the right variables. This is because the variables that are measured will determine the accuracy of the predictions. If the wrong variables are measured, then the predictions will be inaccurate.
For example, if you are trying to predict the price of a house, you would need to measure variables such as the size of the house, the location of the house, and the condition of the house. If you only measured the size of the house, then your predictions would be inaccurate because the other variables would also affect the price of the house.
Therefore, it is important to measure the right variables in order to make accurate predictions.
Here are some additional details about each option:
- Option A: Accurate prediction depends heavily on measuring the right variables. This is a true statement because the variables that are measured will determine the accuracy of the predictions. If the wrong variables are measured, then the predictions will be inaccurate.
- Option B: Accurate prediction does not depend heavily on measuring the right variables. This is a false statement because the variables that are measured will determine the accuracy of the predictions. If the wrong variables are measured, then the predictions will be inaccurate.