The method which is the most appropriate method to fit a unique curve from a given data is ans. Sum of square Least square Squares of square none

The method which is the most appropriate method to fit a unique curve from a given data is ans. Least square Squares of square none Sum of square

The method which is the most appropriate method to fit a unique curve from a given data isans.

ChatGPTSure! Least squares approximation is a method used to find the best-fitting curve or surface to a set of data points. One common example is fitting a line to a set of data points in a 2D space. Let's create an example:Suppose we have the following data points:(1,2),(2,3),(3,4),(4,5),(5,6)(1,2),(2,3),(3,4),(4,5),(5,6)We want to find the line 𝑦=𝑚𝑥+𝑐y=mx+c that best fits these data points in the least squares sense, where 𝑚m is the slope and 𝑐c is the y-intercept.

The method of least squares calculates square of deviations of the points from the line chosen using Linear Regression. Our target is that this error should be

Which method is used to find the best fit line for linear regression?Maximum likelihoodLeast square errorMean square errorEither of A and B