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You could use a computer to fit an exponential function to the data and measure how well it fits. But how about just turning an exponential function into a linear function?
Notice that a linear function does indeed fit this data quite nicely. But why fit a function if you don't do something with it?
This article explains proportional integral derivative (PID) control, including the math behind it, with the use case of a linear servo motor.
Then, the EGP achievement function is demonstrated on a diet problem with 144 foods, 19 nutrients and several types of palatability constraints, in which the nutritional constraints are modeled ...
This is where regression comes in. By using the regression function `svyglm ()` in R, we can conduct a regression analysis that includes party differences in the same model as race. Using `svyglm ()` ...
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