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

Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.Linear lineNonlinear lineCurved lineAll of the mentioned above

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

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

The least squares regression line minimizes the sum of the _____Group of answer choicessquared differences between actual and predicted y valuesabsolute deviations between actual and predicted x valuesdifferences between actual and predicted y valuesabsolute deviations between actual and predicted y values

The best-fitting line minimizes the residuals.Group of answer choicesTrueFalse