The mathematical basis for the best-fitting regression line is called least-squares regression.Group of answer choicesTrueFalse
Question
The mathematical basis for the best-fitting regression line is called least-squares regression.
Group of answer choices
- True
- False
Solution
True or False Question Analysis
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Understanding the Concept: The statement refers to "least-squares regression," which is a statistical method used to determine the best-fitting line through a set of data points. This method minimizes the sum of the squared differences between the observed values and the values predicted by the line.
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Answer Evaluation: The term "least-squares regression" specifically indicates that it is indeed the mathematical basis for deriving the best-fitting regression line in regression analysis.
Final Answer
True. The mathematical basis for the best-fitting regression line is called least-squares regression.
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How is the line of best fit used to model a relationship between two variables?
We want to find the line 𝑦=𝑚𝑥+𝑐y=mx+c that best fits these data points in the least squares sense, where 𝑚m is the slope and 𝑐c is the y-intercept.
The "Regression" technique in Machine Learning is a group of algorithms that are used for:
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