Simple linear regression questions
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.
Â© BrainMass Inc. brainmass.com June 7, 2023, 2:38 pm ad1c9bdddfhttps://brainmass.com/statistics/regressionanalysis/simplelinearregressionquestions19047
Solution Summary
This solution gives answers and explanations to 4 questions about linear regression.
Free BrainMass Quizzes

Terms and Definitions for Statistics
This quiz covers basic terms and definitions of statistics.

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

Know Your Statistical Concepts
Each question is a choicesummary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.