Hi, Can you please help me with the assignment 3!! it's just need some fixing... but I am attaching assignment 2 as well because you need to view that in order to fix the assignment 3! Let me know if you can fix and if you need additional materials, Please help!

Step 1: Linear Regression Create a linear regression model off your training set and present your model. Visualizations are highly encouraged in this section. Important: Make sure you have dealt with outliers and removed one city from your training set. You should have 10 rows of data before you begin modeling the dataset. Build a linear regression model to help you predict total sales. At the minimum, answer these questions: 1. How and why did you select the predictor variables (see supplementary text) in your model? You must show that each predictor variable has a linear relationship with your target variable with a scatterplot. 2. Explain why you believe your linear model is a good model. You must justify your reasoning using the statistical results that your regression model created. . For each variable you selected, please justify how each variable is a good fit for your model by using the p-values and Rsquared values that your model produced. 3. What is the best linear regression equation based on the available data? Each coefficient should have no more than 2 digits after the decimal (ex: 1.28)