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Question : 2 Which method is used to solve for coefficients b0, b1, .., bn in your linear regression model :
Y = b0 + b1x1+b2x2+ .... +bnxn

1.    Apriori Algorithm
2.    Ridge and Lasso
3.    Ordinary Least squares
4.    Integer programming

Correct Answer : 3 Exp : RY = b0 + b1x1+b2x2+ .... +bnxn
In the linear model, the bi's  represent the unknown p parameters. The estimates for these unknown parameters are chosen so that, on average, the model provides a reasonable estimate of a person's income based on age and education. In other words, the fitted model should minimize the overall error between the linear model and the actual observations. Ordinary Least Squares (OLS) is a common technique to estimate the parameters

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