please answer the following question and explain how you got your answer.

x An electronics company is looking to develop a regression model to predict the number of units sold for a special running watch. Data is provided below: Sales (units) 500 480 485 510 490 Price ($) 100 120 110 103 108 109 106 Advertising ($) Holiday 50 Yes 40 Yes 45 No 55 Yes 40 INO 30 No 45 Yes 1488 496 Compile an excel spreadsheet for the above data and determine the regression equation Selected Answer: Y = 596.02 + 1.09X1 +0.28X2 + 4.34X3 where X1 = Price, X2 = Advertising, X3 = Dummy Variable for Holiday Answers Y = 596.02 - 1.09X1 +0.28X2 + 4.34X3 where X1 = Price, X2 = Advertising, X3 = Dummy Variable for Holiday Y = 596.02 + 1.09X1 +0.28X2 + 4.34X3 where X1 = Price, X2 = Advertising, X3 = Dummy Variable for Holiday Y = 59.62 - 1.09X1 +0.28X2 + 4.34X3 where X1 = Price, X2 = Advertising, X3 = Dummy Variable for Holiday 596.02 -0.28X1 + 1.09X2 + 4.34X3 where X1 = Price, X2 = Advertising, X3 = Dummy Variable for Holiday