1. A logistic regression model is developed to explore the quality of wine on several different variables. The explanation of variables can be foundIN THE LINK BELOW. The rating of wine is ranged from 0 to 10. In this model, we consider the wine as good quality if the rating is more than six. Otherwise, we regard it as poor quality. Consider the following as the screenshot of R-studio analysis.(10 marks)
2. 

Values Std. Err. (Intercept) 4. 829478e+02 0. 814415913 fixed. acidity 4.198038e-01 0.068423125 volatile. acidity -3. 621910e+00 0. 570093214 citric. acid -8. 212202e-01 0. 462350246 residual . sugar 2.474225e-01 0. 012418220 chlorides -1. 887187e+01 0.050442654 free . sulfur . dioxide 9. 347400e-03 0.003773746 total . sulfur. dioxide 5. 801871e-04 0.001666977 density -5. 034926e+02 0. 802910815 PH 2. 636184e+00 0. 363987387 sulphates 2 . 091234e+00 0. 385334015 alcohol 3. 504914e-01 0.051458680 Residual Deviance: 2903.23 AIC: 2927.23