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Posted on Jul 13, 2024

An organic winery trying to predict wine quality collected data on 100 organic wines. These models are similar to ones you seen before, but there

An organic winery trying to predict wine quality collected data on 100 organic wines. These models are similar to ones you seen before, but there are fewer predictor variables because organic wines do not contain sulphur dioxides or sulfates. . The response (Y) is Wine Quality . There are seven predictor (X) variables in the full model: . Fixed Acidity . Volatile Acidity . Citric Acidity Residual Sugar . Chlorides o Ph . Alcohol Elimination Summary Variable Adj . Step Removed R-Square R-Square C (p) AIC RMSE Here is the Elimination Summary from the Backward Elimination procedure: Ph 0. 3907 0. 3514 6. 1825 168 .4007 0. 5376 WNH Chlorides 0. 3889 0. 3564 4.4449 166. 6850 0.5355 Citric_Acidity 0. 3835 0. 3576 3. 2642 165. 5674 0. 5350 Fixed_Acidity 0. 380 0. 3606 1. 8011 164. 1415 0. 5338 How many PREDICTOR (X) variables are in the final candidate model proposed by Backwards Elimination? Selection Summary Variable Adj . Step Entered R-Square R-Square C(p) AIC RMSE Here is the Selection Summary from the Forward Selection procedure: - - - Alcohol 0. 2283 0. 2205 20.7389 182. 0177 0. 5893 WNH Volatile_Acidity 0. 3510 0. 3376 4. 1867 166. 7108 0. 5433 Residual_Sugar 0. 3800 0. 3606 1. 8011 164. 1415 0. 5338 How many PREDICTOR (X) variables are in the final candidate model proposed by Forward Selection?Stepwise Selection Summary Added/ Adj . Step Variable Removed R-Square R-Square C (p ) AIC RMSE Here is the Selection Summary from the Stepwise Selection procedure: _ _ Alcohol addition 0. 228 0. 220 20. 7390 182. 0177 0. 5893 WNH Volatile_Acidity addition 0. 351 0. 338 4. 1870 166. 7108 0. 5433 Residual_Sugar addition 0. 380 0. 361 1. 8010 164. 1415 0. 5338 How many PREDICTOR (X) variables are in the final candidate model proposed by Stepwise Selection? Best Subsets Regression Model Index Predictors Alcohol Volatile_Acidity Alcohol Volatile_Acidity Residual_Sugar Alcohol VOUTAWNY Fixed_Acidity Volatile_Acidity Residual_Sugar Alcohol Fixed_Acidity Volatile_Acidity Citric_Acidity Residual_Sugar Alcohol Fixed_Acidity Volatile_Acidity Citric_Acidity Residual_Sugar Chlorides Alcohol Fixed_Acidity Volatile_Acidity Citric_Acidity Residual_Sugar Chlorides Ph Alcohol Here is the output from the Best Subsets procedure: Subsets Regression Summary Adj . Pred Model R-Square R-Square R-Square c(p) AIC SBIC SBC MSEP FPE HSP APC 0. 2283 0. 2205 0. 1952 20. 7389 182.0177 -102. 3847 189.8332 34.7325 0. 3543 0. 0036 0. 8032 0. 3510 0. 3376 0. 3057 4. 1867 166. 7108 -116.9668 177 . 1315 29. 5171 0. 3040 0. 0031 0. 6892 0. 3800 0. 3606 0. 3289 1. 8011 164. 1415 -119. 1263 177. 1673 28 . 4956 0. 2963 0. 0030 0. 6717 0. 3835 0. 3576 0. 3216 3. 2642 165. 5674 -117.5085 181 . 1984 28.6339 0. 3006 0. 0030 0. 6814 0. 3889 0. 3564 0. 301 4.4449 166.6850 -116.1354 184. 9212 28. 6875 0. 3040 0. 0031 0. 6891 0. 3907 0. 3514 0. 2752 6. 1825 168.4007 -114. 2141 189. 2421 28.9170 0. 3092 0. 0031 0. 7011 0. 3919 0. 3456 0. 2622 8. 0000 170. 2026 -112. 2089 193. 6491 29. 1769 0. 3149 0. 0032 0. 7139 How many PREDICTOR (X) variables are in the 'best' fitting model in the Best Subsets output (based on Adjusted R2 and AIC values)?Fixed_Acidity Volatile_Acidity Citric_Acidity Residual_Sugar Chlorides Ph Alcohol Here is the output from the Best Subsets procedure: Subsets Regression Summary Adj . Pred Model R -Square R -Square R - Square C(P) AIC SBIC SBC MSEP FPE HSP APC 0. 2283 0. 2205 0. 1952 20.7389 182.0177 -102. 3847 189.8332 34. 7325 0. 3543 0. 0036 0. 8032 0. 3510 0. 3376 0. 3057 4. 1867 166.7108 -116.9668 177 .1315 29.5171 0. 3040 0. 0031 0. 6892 0. 3800 0. 3606 0. 3289 1. 8011 164. 1415 -119.1263 177 . 1673 28. 4956 0. 2963 0. 0030 0. 6717 VOUTAWNY 0. 3835 0. 3576 0. 3216 3. 2642 165 .5674 -117. 5085 181 . 1984 28. 6339 0. 3006 0. 0030 0. 6814 0. 3889 0. 3564 0. 301 4. 4449 166. 6850 -116. 1354 184.9212 28. 6875 0. 3040 0. 0031 0. 6891 0. 3907 0. 3514 0. 2752 6. 1825 168. 4007 -114. 2141 189. 2421 28.9170 0. 3092 0. 0031 0. 7011 0. 3919 0. 3456 0. 2622 8. 0000 170.2026 -112. 2089 193 . 6491 29. 1769 0. 3149 0. 0032 0. 7139 How many PREDICTOR (X) variables are in the 'best' fitting model in the Best Subsets output (based on Adjusted R2 and AIC values)? How many of these four methods agree on a final candidate model? Next to each PREDICTOR variable specify 1 for Yes or 0 for No if it was selected by three or more of the methods above. Fixed Acidity V Volatile Acidity V Citric Acidity Residual Sugar V Chlorides Ph Alcohol > A Moving to another question will save this response. >