What is a best-fit curve?

Question

Accepted Answer

A best-fit curve is a mathematical function that represents the closest approximation to a set of data points.

A best-fit curve is used to model the relationship between variables in a dataset.
It is often used in research and development to analyze and predict trends.
The curve is determined by minimizing the overall distance between the curve and the data points.
Different types of curves can be used, such as linear, polynomial, exponential, or logarithmic curves.
The best-fit curve can be used to make predictions or estimate values for new data points.
For example, in physics, a best-fit curve can be used to model the motion of an object based on experimental data.

Accepted Answer

The best curve approximates the trend on a scatter plot.

Accepted Answer

A curve the best approximates the trend on a scatter plot.

Accepted Answer

Curve of Best Fit: a curve the best approximates the trend on a scatter plot. If the data appears to be quadratic, we perform a quadratic regression to get the equation for the curve of best fit.

What is a best-fit curve?

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