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 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. Click the icon to view the data of wine quality and alcohol content. a. Construct a scatter plot. Choose the correct graph below. O A. O B. O C. OD 15 - 40- 10- 15- Wine Quality Rating Wine Quality Rating Wine Quality Rating Wine Quality Rating 0- O- 0 40 0 15 0 15 0 10 Alcohol Content (%) Alcohol Content (%) Alcohol Content (%) Alcohol Content (%) b. For these data, bo = 6.0 and b, =0.1. Interpret the meaning of the slope, by , in this problem. Choose the correct answer below. O A. The slope, b1, implies that the alcohol content is equal to the value of by, in percentages. O B. 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 b,. O C. The slope, by, implies that for each increase of 1 wine quality rating, the alcohol content is expected to increase by the value of by , in percentages. O D. The slope, b1, implies that for each 0.1 percentage decrease in alcohol content, the wine should have an increase in its rating by 1. c. Predict the mean wine quality for wines with an 13% alcohol content. Y, =(Round to two decimal places as needed.) d. What conclusion can you reach based on the results of (a)-(c)? A. Alcohol percentage appears to be affected by the wine quality. Each increase of 1 in quality leads to a mean increase in alcohol of about 0.1.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 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 marte (a) thenlish (d) halnine X Alcohol Content and Quality Rating Wine Alcohol Content (%) Quality Rating 10.0 10 10.8 P/6) 10.4 11.9 11.7 11.8 NI50 0 VOUAWN 12.5 12.3 12.4 13.2 13.5 13.8 Print Done Y, =(Round to two decimal places as needed.) d. What conclusion can you reach based on the results of (a)-(c)?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. Click the icon to view the data of wine quality and alcohol content. Wine Quali Wine Quali Wine Qual Wine Quali O- 0 40 0 15 0 10 Alcohol Content (%) Alcohol Content (%) Alcohol Content (%) Alcohol Content (%) b. For these data, bo = 6.0 and b, = 0.1. Interpret the meaning of the slope, by , in this problem. Choose the correct answer below. O A. The slope, by, implies that the alcohol content is equal to the value of by , in percentages. O B. The slope, by, implies that for each increase of alcohol percentage of 1.0, the wine quality rating is expected to increase by the value of by. O C. The slope, by, 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 D. The slope, by , implies that for each 0.1 percentage decrease in alcohol content, the wine should have an increase in its rating by 1. c. Predict the mean wine quality for wines with an 13% alcohol content. Y, -(Round to two decimal places as needed.) d. What conclusion can you reach based on the results of (a)-(c)? A. Alcohol percentage appears to be affected by the wine quality. Each increase of 1 in quality leads to a mean increase in alcohol of about 0.1. O B. Wine quality appears to be affected by the alcohol percentage. Each increase of 1% in alcohol leads to a mean increase in wine quality of about 6.0. O C. Alcohol percentage appears to be affected by the wine quality. Each increase of 1 in quality leads to a mean increase in alcohol of about 6.0. O D. Wine quality appears to be affected by the alcohol percentage. Each increase of 1% in alcohol leads to a mean increase in wine quality of about 0. 1.You are testing the null hypothesis that there is no relationship between two variables, X and Y. From your sample of n = 20, you determine that SSR = 60 and SSE = 40. Complete parts (a) through (e) below. a. What is the value of FSTAT? State the hypotheses to test. Choose the correct answer below. O A. Ho: B1 = 0 OB. Ho: B, 20 H: B1 # 0 Hy : B , 0 FSTAT = (Round to the nearest integer as needed.) b. At the a = 0.05 level of significance, what is the critical value? The critical value is. (Round to two decimal places as needed.) c. Based on your answers to (a) and (b), what statistical decision should you make? O A. Do not reject Ho. There is evidence that there is a relationship between X and Y. O B. Do not reject Ho. There is no evidence that there is a relationship between X and Y. O C. Reject Ho. There is evidence that there is a relationship between X and Y. O D. Reject Ho. There is no evidence that there is a relationship between X and Y. d. Compute the correlation coefficient by first computing r and assuming that b, is negative. 12 =(Round to four decimal places as needed.) T = (Round to four decimal places as needed.) e. At the 0.05 level of significance, is there a significant correlation between X and Y? Determine the null and alternative hypotheses for this test. OA. Ho: P#0 OB. Ho: p20 H1 : P =0 Hip