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

The best fit line method for data in Linear Regression?(1 Point)Least Square ErrorMaximum LikelihoodLogarithmic LossBoth A and B

In choosing the best fitting line through a set of points in a linear regression, we choose the one with the __________. a. smallest sum of squared residuals b. largest sum of squared residuals c. smallest sum of squared error d. a and c

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

The mathematical basis for the best-fitting regression line is called least-squares regression.Group of answer choicesTrueFalse

42.In practice, the line of best fit or regression line is found when:  A. Sum of the square of residuals ( ? (Y-h(X))2) is minimum  B. Sum of residuals (?(Y – h(X))) is minimum  C. Sum of the absolute value of residuals (?|Y-h(X)|) is maximum  D. Sum of the square of residuals ( ? (Y-h(X))2) is maximum