Questions: Question 6 (1 point) Saved Using a linear-regression (line of best fit) equation to predict values outside the range of the data is an example of a) Extrapolation b) Residuals c) Least-square fit d) Interpolation

Question 6 (1 point) Saved Using a linear-regression (line of best fit) equation to predict values outside the range of the data is an example of a) Extrapolation b) Residuals c) Least-square fit d) Interpolation
Transcript text: Question 6 (1 point) $\checkmark$ Saved Using a linear-regression (line of best fit) equation to predict values outside the range of the data is an example of a) Extrapolation b) Residuals c) Least-square fit d) Interpolation
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Solution

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Solution Steps

Step 1: Understand the Question

The question is asking about a concept related to linear regression, specifically when using a line of best fit to predict values outside the range of the data.

Step 2: Analyze the Options
  • Extrapolation: This is the process of estimating values outside the range of the data set using the line of best fit.
  • Residuals: These are the differences between observed values and the values predicted by the regression line.
  • Least-square fit: This is a method used to determine the line of best fit by minimizing the sum of the squares of the residuals.
  • Interpolation: This is the process of estimating values within the range of the data set using the line of best fit.
Step 3: Determine the Correct Answer

The question specifically asks about predicting values outside the range of the data. This is known as extrapolation.

Final Answer

\(\boxed{\text{a) Extrapolation}}\)

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