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
Question
Solution 1
The target of the method of least squares in Linear Regression is to minimize this error. This means that the sum of the squares of the deviations (differences) of the observed points from the line should be as small as possible. This line is the best fit that represents the relationship between the Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study problem.
Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solv
Similar Questions
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
The best fit line method for data in Linear Regression?(1 Point)Least Square ErrorMaximum LikelihoodLogarithmic LossBoth A and B
The mathematical basis for the best-fitting regression line is called least-squares regression.Group of answer choicesTrueFalse
Which method is used to find the best fit line for linear regression?Maximum likelihoodLeast square errorMean square errorEither of A and B
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