collected data on the following variables for the past 5 months: Total sales revenue (Y), Average...

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collected data on the following variables for the past 5 months: Total sales revenue (Y), Average store A retail company wants to understand the factors that impact its sales revenue. The company has that, what is the impact of average store foot traffic, and marketing budget on total sales revenue for foot traffic (X1), and Marketing budget (X3). Develop a multiple linear regression model to predict the retail company. The data is summarized in Table 4. Sales Revenue (Y) 50$ 45$ 48$ Marketing Budget (X2) 130$ 120$ 200$ 130$ 250$ Note: Average Store foot traffic is the average number of people enter in the store per minute Table 4 Average Store foot traffic (X1) 5 7 6 60$ 70$ 5 4 collected data on the following variables for the past 5 months: Total sales revenue (Y), Average store A retail company wants to understand the factors that impact its sales revenue. The company has that, what is the impact of average store foot traffic, and marketing budget on total sales revenue for foot traffic (X1), and Marketing budget (X3). Develop a multiple linear regression model to predict the retail company. The data is summarized in Table 4. Sales Revenue (Y) 50$ 45$ 48$ Marketing Budget (X2) 130$ 120$ 200$ 130$ 250$ Note: Average Store foot traffic is the average number of people enter in the store per minute Table 4 Average Store foot traffic (X1) 5 7 6 60$ 70$ 5 4

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multiple linear regression model using Python with the scikitlearn library Make sure you have your d... View the full answer