For which of the error is calculated by finding the sum of squared distance between actual and predicted values
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Explanation:
Regression
Regression is a measurement of statistics in which maximum and minimum of a data or strength of relationship between one variable and one constant, variable is always taken as the y – axis.
There are mainly 3 types of regression.
Linear
Multiple
Non-Linear.
The error is use to find out the accuracy of prediction, the standard error measurement is in this equation
y = actual data, y’ = predicted data, n = number of paired data
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