Please answer whether these questions or true, false or uncertain. Explain the answer.
1. In a simple linear regression, the coefficient of determinations is the amount of unexplained variation divided by the total variation.
2. If a simple linear regression model's R(squared) is equal to 0.81; then the same model's r will equal 0.9.
3. The "best" fitting regression line will minimize the sum of squared total (SST).
4. A correlation between y and x of 0.9 implies that there is significant evidence to conclude that y and x are related.
This solution gives answers and explanations to 4 questions about linear regression.