The marketing manager of a leading brand wine store is developing a model to estimate and predict monthly sales volume in supermarkets. Four independent variables are included in the consumer survey: The price per bottle, as measured in dollars [Price]: The monthly budget for advertising, measured in 1000 dollars [Advertisement]; The price of leading competitor's product, X measured in dollars [Price X; The per capita income of the standard metropolitan statistical area (SMSA) in which the supermarkets is located, measured in 1000 dollars [Income]. The dependent variable is the number of bottles sold in a month [Sales], measured in 1000. Data are collected from a sample of 19 supermarkets in different cities. SalesPriceAdvertising Price X 100 3.5 4.6 3.5 4.3 3.5 3.8 Store $1000 3.3 3.3 4.9 5.4 4.8 5.1 4.5 4.3 5.6 5.8 5.7 5.5 4.9 4.3 5.9 6.1 4.8 4.7 80 60 78 65 70 75 45 49 49 4.5 53 49 62 5 3.7 3.5 4.7 63 59 49 56 53 61 53 70 4.9 3.4 10 75 75 59 56 3.2 12 13 14 4.4 4.5 3.5 2.7 16 17 18 3.5 4.2 75 70 60 3.5 3.5 3.7 62 49 5.3 5.9 4.6 You are required to run regression analysis of the dataset and your report, you should include the following: present your results in a report. In Write out the demand function as an equation which you would (Hint Sales Ao+Ai Price +A Advertising+ A Price X+A Income) like to estimate