The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine experts, data was collected from red wine variants. A sample of 20 wines is provided in the accompanying table. Develop a multiple linear regression model to predict wine quality, measured on a scale from 0 (very bad) to 10 (excellent) based on alcohol content (%) and the amount of chlorides. Complete parts a through g below.

Question content area bottom Part 1 a. State the multiple regression equation. Let Upper X Subscript 1 iX1i represent the alcohol content (%) of wine i and let Upper X Subscript 2 iX2i represent the number of chlorides for wine i. ModifyingAbove Upper Y with caret Subscript iYiequals=enter your response hereplus+(enter your response here)Upper X Subscript 1 iX1iplus+(enter your response here)Upper X Subscript 2 iX2i (Round to two decimal places as needed.) Quality Alcohol_Content(%) Chlorides 1 7.9 0.065 2 7.3 0.068 3 8.3 0.067 3 8.5 0.072 3 8.3 0.069 2 8.9 0.077 2 8.4 0.072 5 9.4 0.076 6 10.3 0.079 7 10.7 0.077 7 10.3 0.082 7 11.1 0.081 6 11.3 0.089 8 11.8 0.084 7 11.3 0.094 8 11.7 0.092 9 11.6 0.107 8 12.3 0.135 9 12.4 0.158 9 12.8 0.154