Question $2$: Baseline Regression Model $(30$ marks$)$

Train a baseline linear regression model to predict the total conversion. Evaluate the

performance of the baseline model.

a$.$ Based on your EDA findings in question $1,$ select at least two relevant features as independent variables $($X$)$ to predict the total conversion rate $($y$).$

Name the features you selected in MyTimes text box, provide functional code with its output in your google Colab notebook.

$(5$ marks$)$

b$.$ Perform train$-$test split at an $80$:$20$ train$-$test ratio.

Provide the line of code in MyTimes text box, provide functional code with its output in your google Colab notebook.

$(5$ marks$)$

c$.$ Train the linear regression model and report the equation of the model with the trained coefficients. $(10$ marks$)$

Provide the equation of model in MyTimes text box, provide the screenshot of features and coefficients in online document, provide functional code with its output in your google Colab notebook.

d$.$ Evaluate the model performance using appropriate metrics and provide a detailed explanation of the results. $(10$ marks$)$

Provide the metrics and detailed explanation in MyTimes text box, provide relevant

screenshot of features and coefficients in online document, provide functional code with its output in your google Colab notebook.