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mework Question 3, 14.2.13-T HW Score: 40.38%, 3.23 of 8 points Part 8 of 8 Points: 0.62 of 1 Save The production of wine is a multi-billion-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 from a particular type of foreign wine. A multiple linear regression model was developed from a sample of 35 wines. The model was used to predict wine quality, measured on a scale from 0 (very bad) to 10 excellent) based on the alcohol content (%) and the amount of chlorides. For the model, the SSR was 26.114 and the SSE was 37.918. Complete parts (a) through (d) below. State the conclusion. Since the p-value is less than the level of significance, reject the null hypothesis . There is sufficient evidence to conclude there is a linear relationship. b. Interpret the meaning of the p-value. O A. The p-value is the probability that there is a linear relationship between the two independent variables. O B. The p-value is the probability that there is a linear relationship between the dependent variable and at least one of the independent variables. O C. The p-value is the probability of getting an overall test statistic equal to or less than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. D. The p-value is the probability of getting an overall test statistic equal to or greater than the sample result, assuming there is no linear relationship between the dependent variable and the independent variables. c. Compute the coefficient of multiple determination, r, and interpret its meaning. 2 = .4078 (Round to four decimal places as needed.) Interpret the meaning of 2 The coefficient of multiple determination indicates that 40.78 % of the variation in wine quality can be explained by the variation in chloride and alcohol content. (Round to two decimal places as needed.) d. Compute the adjusted 2. "adj = ( Round to four decimal places as needed.) an example Get more help - Clear all Check