What Are the Best Tips for Getting Fitting Model Jobs?

In actual work, there is not necessarily a linear relationship between variables, such as the relationship between blood concentration and time after medication; the relationship between disease efficacy and duration of treatment; the relationship between the dose of poison and lethality is often a curve. Curve fitting refers to selecting the appropriate curve type to fit the observation data, and using the fitted curve equation to analyze the relationship between the two variables.

Approximately describe or compare with continuous curves

Curve straightening is one of the important methods of curve fitting. For some non-linear data, it can be linearized by simple variable transformation.

(1) Draw a scatter plot and select the appropriate curve type ^[5]

Generally, the curve type of the data can be determined based on the nature of the data combined with professional knowledge.

Curve Fitting

At the timing, a scatter plot can be drawn on the grid graph paper, and a close and suitable curve type is selected according to the distribution of the scatter.

(Two) variable transformation

Y '= f (Y), X' = g (X) (12.37)

Make the two variables transformed into a linear relationship.

(3) Finding linear equations and analysis of variance based on the principle of least squares

(4) Convert the linearized equation into a function expression about the original variables X and Y