Which of the following are correct statements for linear regression? 1. If the scatter plot of the residual and the predicted response of a linear regression model shows a relationship between the two, then the model is good.  2. Linear regression is not sensitive to outliers.  3. LASSO could be used for variable selection.  4. If the Pearson's correl

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Which of the following are correct statements for linear regression?

1. If the scatter plot of the residual and the predicted response of a linear regression model shows a relationship between the two, then the model is good. 

2. Linear regression is not sensitive to outliers. 

3. LASSO could be used for variable selection. 

4. If the Pearson's correlation coefficient between feature X1 and response Y is small, then there is weak evidence of correlation between X1 and Y. 

5. If one uses a large penalty in ridge regression, then the bias in the model is high. 

6. If the training data size is increased, then the bian and variance of the model increase. 

7. One can use a maximum likelihood estimator in the case of linear regression under the assumption that the errors are independent and identically distributed.

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