Question: Q1 Fit a predictive linear regression model to estimate weight of the subject based on the height and gender? The data source weight-height.csv can be

Q1 Fit a predictive linear regression model to estimate weight of the subject based on the height and gender? The data source weight-height.csv can be found here: (https://github.com/ASHOKKUMAR-K/Weight_Prediction/blob/master/weight-height.csv) (50 points) -Report the coefficients values by using the standard Least Square Estimates -What is the standard error of the estimated coefficients, R-squared term, and the 95% confidence interval? -Is there any dependence between the gender and weight of the subject? - Explain how are the qualitative attributes (such as gender) included in the regression model? Q2 Using the data source in Q1 fit the Ridge and Lasso Regression Models. (25 points) - Report the coefficients for both the models - Report the attribute (among height and gender) least impacting the weight of the subject
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