Quality 1 0 2 2 2 3 3 5 6 6 7 7 5 7 8 8 7 9 9 10

Alcohol_Content(%) 7.2 7.7 8.1 8.6 8.1 8.7 8.3 9.2 10.8 10.2 10.1 10.5 10.7 11.7 11.1 11.9 12.2 11.8 12.2 12.7

Chlorides 0.064 0.069 0.072 0.073 0.066 0.077 0.073 0.074 0.085 0.076 0.079 0.081 0.084 0.082 0.095 0.095 0.145 0.123 0.159 0.152

The production of wine is a multibillionclollar 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 (M7) and the amount of chlorides Complete parls a through 9 below E Click the icon to view the table a. State the multiple regression equation, Let X." represent the alcohol content (%) of Wine i and let X2. represent the number otchlorides for Wine i, ti : 711,22 +(1,68)X1i+( 73 94 )XZi (Round to two decimal places as needed) [2. Interpret the meaning of the slopes, b1 and oz, in this problem 0 A. For a given number of chlorides, each increase of one percentage of alcohol content is estimated to result in a mean increase of wine quality of hi units For a given alcohol content, each increase of one unit in chlorides is estimated to result in the mean increase in wine quality (1ch units 0 B. For every increase of one unit otalcohol content, the estimated number of chlorides and mean Wiiie quality decreases by the values oi [11 and n2 units, respectively, 0 C. For a given quality, each decrease of the value of b1 units in chlorides is estimated to result in a mean increase in alcohol content of one unit. For a given alcohol content, each decrease ofthe value of t:2 units in quality is estimated to result in the mean increase in chlorides ofone unit. 0 D. The slopes, b1 and n2, cannot be interpreted individually