Final Project (R Programming) Use any techniques (correlation, regression, machine learning, deep learning, etc.) to answer the following two questions: ·

Final Project (R Programming) Use any techniques (correlation, regression, machine learning, deep learning, etc.) to answer the following two questions:

·

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Final Project (R Programming) Use any techniques (correlation, regression, machine learning, deep learning, etc.) to answer the following two questions:

·  What factors significantly impact the amount of wines (AmountWines)?

o  Due date: Monday 12/13/2021 11:59pm CT

o  Data: Canvas-assignment-Final Project

o  Submit your codes via Canvas-assignment-Final Project

o  Submission format: r.script and Single Excel summary output

You must follow below steps. Otherwise, your code won’t work on my machine

§  Manually set your working directory (from toolbar – Session), DO NOT hardcode the file path.

§  Only use the following code to read data from your local drive

data_independent  <- read.csv(file = 'data - for student - independent variables.csv') data_dependent <- read.csv(file = 'data - for student - dependent variable.csv') y <- data_dependent$AmountWines §  Enter your name, such as: first_name<-'Yan' last_name<-'Lang' §  Assign “new_data”, lower-case, to represent all independent variables you decided to use §  Assign “model”, to represent your model’s name §  Assign “preds”, lower-case, to represent your y-predictions based on the results of your model. If your data has 1500 rows, then you should see 1500 rows of predictions. §  write below code after calculating your predictions rmse<- sqrt(mean((y - preds)^2)) §  Combine, “first_name”, “last_name”, and “rmse” as one single csv output file, name the csv file as: finaloutput §  At the end of your scripts, write the following code (this is for TA, when testing your code, don’t run those lines.) source("predictdata.R") ·  What are your business suggestions/recommendations to the CEO? o  Due date: Monday 12/13/2021 11:59pm CT o  Submit your file via Canvas-assignment-Final Project o  Submission format: Single Word file §  Data visualization §  Executive summary reports §  etc. AmountWines 239 464 19 460 32 2 68 34 15 0 5 5 11 275 215 19 345 206 478 284 23 125 219 332 1288 279 1 28 901 172 123 399 17 56 154 130 95 182 19 918 235 198 158 229 373 91 283 1170 6 315 374 534 294 308 27 824 388 1060 434 322 25 174 23 2 941 163 398 704 9 816 302 349 65 422 6 22 464 356 40 146 13 707 787 529 18 1493 48 46 588 340 379 18 584 23 167 151 962 784 56 63 97 303 320 381 306 1099 411 2 6 410 38 7 254 20 9 51 158 139 121 87 4 235 342 112 178 200 6 505 728 523 41 200 600 322 299 112 63 14 656 29 22 532 70 258 1000 733 16 269 24 1486 6 938 85 1050 7 520 755 102 9 124 239 322 50 88 2 9 554 1253 384 690 483 587 13 977 664 434 27 22 261 12 551 368 85 962 1076 182 284 154 172 6 10 6 407 496 8 280 4 270 204 18 387 21 735 265 8 666 8 53 268 55 18 85 48 11 379 38 69 709 347 741 664 558 2 547 292 3 577 292 15 354 162 890 66 4 779 213 796 154 9 80 3 1043 59 760 9 1259 1074 5 2 412 25 189 1148 56 46 721 652 32 81 667 965 595 794 44 399 1 711 446 5 63 1 78 522 867 5 619 563 243 15 78 70 896 377 450 11 448 1006 54 166 35 1063 3 15 27 15 256 12 13 11 1218 353 938 11 1215 510 57 32 17 4 4 213 64 539 3 110 10 625 32 587 39 778 177 44 173 376 823 490 364 483 3 531 861 199 8 48 2 356 217 204 5 23 153 97 163 14 50 23 416 7 977 1016 3 691 1050 14 25 526 1206 754 162 14 156 358 297 5 19 23 519 375 72 52 71 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