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

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Author:Amos Gilat
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A retail company wants to understand the factors that impact its sales revenue. The company has collected data on the following variables for the past 5 months: Total sales revenue (Y), Average store foot traffic (XI), and Marketing budget (X3). Develop a multiple linear regression model to predict that, what is the impact of average store foot traffic, and marketing budget on total sales revenue for the retail company. The data is summarized in Table 4. Table 4 Average Store foot traffic (X1) Sales Revenue (Y) 50$ 5 130S 45$ 48$ 7 6 120$ 200$ 60$ 708 5 4 Marketing Budget (X2) 130$ 250$ Note: Average Store foot traffic is the average number of people enter in the store per minute
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
foot traffic (X1), and Marketing budget (X3). Develop a multiple linear regression model to predict
that, what is the impact of average store foot traffic, and marketing budget on total sales revenue for
the retail company. The data is summarized in Table 4.
Sales Revenue (Y)
50$
45$
48$
Table 4
Average Store foot traffic (XI)
5
7
60$
70$
6
200$
130$
250$
Note: Average Store foot traffic is the average number of people enter in the store per minute
Marketing Budget (X2)
130$
120$
5
4
Transcribed Image Text: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 foot traffic (X1), and Marketing budget (X3). Develop a multiple linear regression model to predict that, what is the impact of average store foot traffic, and marketing budget on total sales revenue for the retail company. The data is summarized in Table 4. Sales Revenue (Y) 50$ 45$ 48$ Table 4 Average Store foot traffic (XI) 5 7 60$ 70$ 6 200$ 130$ 250$ Note: Average Store foot traffic is the average number of people enter in the store per minute Marketing Budget (X2) 130$ 120$ 5 4
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