The production of wine is a​ multibillion-dollar worldwideindustry. In an attempt to develop a model of wine quality asjudged by wine​ experts, data was collected from red wine variants.A sample of 20 wines is provided in the accompanying table. Developa multiple linear regression model to predict wine​ quality,measured on a scale from 0​ (very bad) to 10​ (excellent) based onalcohol content​ (%) and the amount of chlorides. Complete parts athrough g below. LOADING... Click the icon to view the table. a.State the multiple regression equation. Let Upper X Subscript 1 irepresent the alcohol content​ (%) of wine i and let Upper XSubscript 2 i represent the number of chlorides for wine i. QualityAlcohol_Content(%) Chlorides 0 7.9 0.067 1 7.1 0.062 2 8.9 0.067 28.1 0.071 2 8.6 0.073 3 8.9 0.074 2 9.3 0.072 5 9.5 0.077 6 10.40.077 7 10.3 0.079 7 10.1 0.083 6 10.9 0.084 7 11.4 0.081 7 11.40.084 6 11.9 0.095 9 11.5 0.096 8 11.7 0.119 9 11.5 0.143 10 12.30.151 9 12.3 0.159 b. Interpret the meaning of the​ slopes, b 1 andb 2​, in this problem. c. Explain why the regression​ coefficient,b 0​, has no practical meaning in the context of this problem. c.Predict the mean quality rating for wines that have 8​% alcoholcontent and chlorides of 0.10. d. Construct a​ 95% confidenceinterval estimate for the mean quality rating for wines that have8​% alcohol and 0.10 chlorides. e. Construct a​ 95% confidenceinterval estimate for the mean quality rating for wines that have8​% alcohol and 0.10 chloride Construct a​ 95% prediction intervalestimate for the quality rating for an individual wine that has 8​%alcohol and 0.10 chlorides. h. What conclusions can you reachconcerning this regression​ model?
