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# Simple linear regression questions

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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.

https://brainmass.com/statistics/regression-analysis/simple-linear-regression-questions-19047

#### Solution Summary

This solution gives answers and explanations to 4 questions about linear regression.

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