Data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 30 wines, a model was created using the percentages of alcohol to predict wine quality. The data are modeled by ModifyingAbove Upper Y with caret Subscript i Baseline equals 2.8141 plus 0.3117 Upper X Subscript i, where Upper X Subscript i is the alcohol content and ModifyingAbove Upper Y with caret Subscript i is the wine quality. Perform a residual analysis for these data. Evaluate whether the assumptions of regression have been seriously violated.

Details are in the photo attached, Thank You!

Wines	Alcohol content (X)	Wine quality (Y)
1	10.3	5
2	12.4	7
3	8.8	6
4	9.2	5
5	12.8	7
6	9.2	7
7	10.1	6
8	9.5	6
9	10.9	6
10	9.2	6
11	10.3	5
12	10.7	5
13	11.3	6
14	10.6	6
15	11.3	6
16	10.6	5
17	10.3	5
18	9.3	6
19	10.9	5
20	10.5	6
21	11.2	5
22	9.8	6
23	10.5	7
24	10.1	7
25	13.6	9
26	12.8	7
27	9.6	7
28	9.5	6
29	11.4	6
30	9.6	7

Details and data in the photos below,

thanks

Data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 30 wines, a model was created using the percentages of alcohol to predict wine quality. The data are modeled by ; = 2.8141 +0.3117X;, where X; is the alcohol content and ; is the wine quality. Perform a residual analysis for these data. Evaluate whether the assumptions of regression have been seriously violated. Click the icon to view the data table. Which of the assumptions of regression, if any, have been seriously violated? Select all that apply. A. The assumption of linearity has been violated because the data are clearly curvilinear. B. The assumption of normality has been violated because the normal probability plot does not appear to be a straight line. C. The assumption of equal variance has been violated because the variability of the residuals is not constant for all values of X. D. The assumption of independence of errors has been violated because the errors are not independent of one another. E. The assumptions of linearity, independence, normality, and equal variance do not appear to have been seriously violated. Data on alcohol content and wine quality was collected from variants of a particular wine. From a sample of 30 wines, a model was created using the percentages of alcohol to predict wine quality. The data are modeled by ; = 2.8141 +0.3117X;, where X; is the alcohol content and ; is the wine quality. Perform a residual analysis for these data. Evaluate whether the assumptions of regression have been seriously violated. Click the icon to view the data table. Which of the assumptions of regression, if any, have been seriously violated? Select all that apply. A. The assumption of linearity has been violated because the data are clearly curvilinear. B. The assumption of normality has been violated because the normal probability plot does not appear to be a straight line. C. The assumption of equal variance has been violated because the variability of the residuals is not constant for all values of X. D. The assumption of independence of errors has been violated because the errors are not independent of one another. E. The assumptions of linearity, independence, normality, and equal variance do not appear to have been seriously violated