Can someone explain the solutions for the attached questions? Thank you in advance

A pizza company has asked you for your assistance in developing a model that predicts the demand for the new snack pizza named Pizza1. This product competes in a market with another brand that is named B2 for identification. At present the products are sold by three major distribution chains identified as 1, 2, and 3. These three chains have different market sizes, and, thus, sales for each distributor are likely to be different. The accompanying data table contains randomly sampled weekly observations from the three distribution chains. Use multiple regression to develop a model that predicts the quantity of Pizza1 sold per week. The model should contain only important predictor variables. Answer parts a. and b. below. Click the icon to view the data. a. Let D2 take the value 1 when the distributor is 2 and 0 otherwise. Let D3 take the value 1 when the distributor is 3 and 0 otherwise. What variables should be included in the model? Select all that apply. A. Price of B2 B. D2 c. D3 D. Price of Pizza1 b. Use technology to estimate a model with the variables selected above. Give the equation for the regression line. y = ([)+()(Price of Pizza1) + ()(D2) +()(D3) (Round to the nearest integer as needed.) Sales of Pizza1 Price of Pizza1 Distributor Price of B2 6,078 0.66 0.82 10, 125 0.62 .80 10,609 0.62 0.77 8,509 0.62 .66 10,655 0.63 0.65 6,773 0.69 0.63 20, 198 0.63 0.65 11,761 0.65 0.78 4,614 0.77 0.62 13,562 0.88 .80 14,608 0.84 0.93 13, 165 0.87 0.75 13,034 0.88 0.74 12,897 0.92 0.79 11,026 0.93 0.76 14,448 0.84 W W W W W W W N NNNNNN- 0.78 511 0.67 0.65 573 0.66 0.65 610 0.67 .65 479 0.66 0.57 448 0.66 0.57 501 0.65 0.59 507 0.67 0.65