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
Question
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
Solution
The most appropriate method to fit a unique curve from a given data is the "Least square" method. This method minimizes the sum of the squares of the residuals (the deviations predicted from the actual empirical values of data). It is a standard approach in regression analysis. The other options, "Squares of square" and "Sum of square", are not standard methods in curve fitting or regression analysis. Therefore, the answer is "Least square".
Similar Questions
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 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 finds the best fit line that _______ the error between observed & estimated points on the linea.Maximizesb.Minimizesc.Reduces to zerod.Approaches to infinityClear my choice
Which method is used to find the best fit line for linear regression?Maximum likelihoodLeast square errorMean square errorEither of A and B
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