The production of wine is a multibillion-dollar worldwide industry. In an attempt to develop a model of wine quality as judged by wine I experts. data was collected from red wine variants of a certain type of wine. A sample of 12 wines is given. Develop a simple linear regression model to predict wine quality. measured on a scale from 0 (very bad) to 10 (excellent), based on alcohol content (%). Complete parts (a) through (d) below. v 3. Construct a scatter plot. Choose the correct graph beiow. Wine Ouailly Rating Alcohol Content (\"/u) Alcohol Content (Wu) Alcohol Content (%J Alcohol Content {%) b. For these data. [on = 2.6 and h1 = 0.4. Interpret the meaning of the slope, b1. in this problem. Choose the correct answer below. 0 A. The slope. b1, implies that for each 0.4 percentage decrease in alcohol content, the wine should have an increase in its rating by 1. O B. The slope, b1, implies that for each increase of 1 wine quality rating, the alcohol content is expected to increase by the value of b1. in percentages. O C. The. slope, b1 , implies that for each increase of alcohol percentage of 1.0, the wine quality rating is expected to increase by the value of hi. ' O D. The slope. b1, implies that the alcohol content is equal to the value of b1. in percentages. c. Predict the mean wine quality for wines with an 14% alcohol content. $1 = 11 (Round to two decimal places as needed.) d. What conclusion can you reach based on me re Alcohol content and quality rating 0 A. Wine quality appears to be affected by the wine quality of about 2.6. O B. Alcohol percentage appears to be affected Alcohol Content (%) Quality Rating alcohol of about 0.4. 10.5 11.3 10.9 12.4 12.2 12.3 O C. Alcohol percentage appears to be affected alcohol of about 2.6. D. Wine quality appears to be affected by the wine quality of about 0.4. 13.0 12.8 12.9 13.7 14.0 ' 14.3 (OCONICDU'IJKQJNA CD'D'lOON'JmOJODODOIO)