Amongst which of the following is / are the types of Linear Regression,Simple Linear RegressionMultiple Linear RegressionBoth A and BNone of the mentioned above

Linear Regression is the supervised machine learning model in which the model finds the best fit ___ between the independent and dependent variable.1 pointLinear lineNonlinear lineCurved lineAll of the mentioned above

Consider x1, x2 to be the independent variables and y the dependent variable, which of the following represents a linear regression model? A. y = a0 + a1/x1 + a2/x2 B. y = a0 + a1x1 + a2x2 C. y = a0+ a1x1 + a2x2 D. y = a0 + a1x12 + a2x2

2. Discuss Linear Regression with an example.

What is the primary difference between multiple linear regression and simple linear regression? The number of predictors used The type of outcome variable The distribution of the data The presence of interaction terms

Question 4Which one of the below terms use a linear combination of features?1 pointBinomial RegressionLinear RegressionMultiple RegressionPolynomial Regression