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Discover Ludwig"linear fit" is a correct and usable phrase in written English.
It is often used in mathematical or scientific contexts to refer to a type of equation or model that represents a straight line relationship between two variables. Example: The data points were plotted and a linear fit was applied to determine the slope and intercept of the line of best fit.
Exact(60)
Line, linear fit.
The lines represent a linear fit through the data points.
(g) and (h) with the, together with a linear fit.
Estimations of the bi-linear fit constants from the linear fit constants are then presented.
The solid line gives the linear fit to the low field M(H) curve.
The p-value was calculated for linear fit of antibody response against tumor volume.
Dotted lines indicate 95% confidence intervals and red solid lines indicate the best linear fit.
Dotted lines indicate 95% confidence intervals and solid line indicates the best linear fit.
The linear fit with maximum growth rate with a Pearson correlation greater than 0.95 was reported.
Dashed lines indicate 95% confidence intervals, and solid lines indicate the best linear fit.
The coefficient of determination of the linear fit was 0.97.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com