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 multibilliondollar worldWIde industry, In an attempt to develop a model of wine qualrty as judged by Wine experts data was collected trorn red Wine variants, A sample of 20 Wines is prowded 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 9 below, a Click the icon to view the table a. State the multiple regression equation Let X." represent the alcohol content (M7) of Wine i and let X2. represent the number oicnlorides torwine i, i: 71122 +( 168 \"(1.\" 73,94 )x2i (Round to two decimal places as needed.) In. Interpret the meaning of the slopes, b1 and oz, in this problem -"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 oualrty of b1 units. For a given alcohol content, each increase of one unit in chlorides is estimated to result in the mean increase in wine quality of oz units, 3. For every increase of one unit of alcohol content, the estimated number of chlorides and mean Wine quality decreases by the values ot b1 and [32 units, respectively, C. For a given quality, each decrease of the value oib1 units in chlorides is estimated to result in a mean increase in alcohol content of one unit, For a given alcohol content, each decrease of the value of D2 units in quality is estimated to result in the mean increase in chlorides ot one unit D. The slopes, b1 and b2, cannot be interpreted indivrdually The production of Wine is a inultibilliondollar worldWIde industry, In an attempt to develop a model of Wine qualrty as judged by Wine expens' 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 (Va) and the amount of chlorides, Complete pans a through g below a Click the icon to View the table II. Interpret the meaning otthe slopes, b1 and b2, in this problem ~VA 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 b1 units For a given alcohol content, each increase of one unit in chlorides is estimated to result in the mean increase in wine quality of oz units. 3 For every increase of one unit oi alcohol content, the estimated number of chlorides and mean Wine quality decreases by the values of b1 and b2 units, respectively C For a given quality, each decrease ofthe value ot 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 of the value oi b2 units in quality is estimated to result in the mean increase in chlorides ofone unit D The slopes, b1 and b2, cannot be interpreted indIVidually 1:. Explain why the regression coefcient, be, has no practical meaning in the context otthis problem 0 A. The interpretation of bU has no practical meaning here because rt would correspond to the estimated mean chlorides when a wine has a 0% alcohol content and 0 quality, 0 E. The interpretation of bU has no practical meaning here because rt would correspond to the estimated mean quality when a Wine has a 0% alcohol content and 0 chlorides O C. The interpretation of bU has no practical meaning here because rt would correspond to the estimated mean alcohol content when a wine has a 0 quality and O chlorides O D. The interpretation of hU has no practical meaning here because it would correspond to the estimated mean alcohol content and mean chlorides when there is no quality