Chat with us, powered by LiveChat The following sample Excel datasets can be found at the following site https://www.contextures.com/xlsampledata01.html#office Access the practice dataset associated with the Z, then: Se - Writeden

The following sample Excel datasets can be found at the following site https://www.contextures.com/xlsampledata01.html#office Access the practice dataset associated with the Z, then: Se

The following sample Excel datasets can be found at the following site

https://www.contextures.com/xlsampledata01.html#office

Access the practice dataset associated with the Z, then:

  1. Select 3 continuous variables, from the dataset, select 1 to serve as the dependent variable. List your choices
  2. Using Excel, generate a histogram of the dependent variable. APA formatting is expected
  3. Using Excel, follow the tutorial video and generate multiple regression tables
  4. Using JASP (you may need to save the Excel file as a .csv file), follow the demonstration in the JASP tutorial video posted in Week 3 and generate multiple regression tables.
  5. Report all generate Multiple Regression tables. 
  6. All generated Tables should be numbered
  7. Report your histogram and multiple regression tables in PDF format

Sheet1

Region NumberOfEmployees InventoryValue AverageMonthlyOrders
1 4 690.23 277
1 2 786.10 254
1 5 764.79 244
1 5 766.59 259
1 6 729.11 238
1 7 687.91 245
1 7 724.88 238
1 8 817.39 232
1 8 785.23 258
1 8 756.49 265
1 9 757.32 257
1 9 670.83 231
1 10 684.18 235
1 10 789.23 243
1 10 705.89 250
1 10 704.03 261
1 11 699.69 262
1 11 756.45 231
1 11 728.59 214
1 11 668.52 286
1 11 683.30 294
1 11 656.70 281
1 11 826.58 289
1 11 715.32 283
1 11 747.24 286
1 11 720.59 283
1 12 811.53 280
1 12 747.63 273
1 12 725.63 273
1 12 769.11 267
2 12 726.56 273
2 12 781.35 271
2 12 767.29 279
2 12 688.26 275
2 13 762.97 269
2 13 771.11 285
2 13 739.76 289
2 14 637.04 293
2 14 828.24 284
2 14 740.42 294
2 14 787.41 309
2 14 786.27 309
2 15 674.31 314
2 15 731.20 294
2 15 748.92 287
2 16 746.96 289
2 16 712.93 309
2 16 806.78 320
2 16 789.56 296
2 17 748.03 295
2 17 713.43 295
2 17 706.83 313
2 17 668.78 310
2 17 673.44 326
2 17 726.98 318
2 17 648.94 308
2 17 729.23 293
2 17 662.34 298
2 17 764.95 313
2 18 699.68 293
2 18 624.28 317
3 18 779.76 322
3 18 802.43 304
3 18 705.70 325
3 18 769.53 315
3 18 697.75 312
3 18 703.19 291
3 18 802.11 321
3 18 829.01 323
3 19 642.04 307
3 19 743.34 303
3 19 806.15 317
3 19 726.79 334
3 19 798.96 329
3 19 825.26 319
3 19 731.59 320
3 19 758.99 330
3 20 696.83 322
3 20 765.86 304
3 20 752.32 326
3 20 770.93 340
3 20 792.70 342
3 20 751.65 335
3 20 688.28 334
3 21 702.71 335
3 21 754.76 329
3 21 761.71 342
3 21 748.24 341
3 21 860.08 334
3 21 742.45 336
3 21 755.89 315
4 21 729.06 329
4 21 787.64 329
4 21 769.55 332
4 22 703.16 358
4 22 702.56 343
4 22 727.73 347
4 22 743.37 352
4 22 822.47 341
4 22 761.24 342
4 22 691.18 359
4 22 789.95 372
4 22 744.59 365
4 22 726.61 361
4 22 737.28 369
4 23 718.90 370
4 23 765.29 378
4 23 767.18 370
4 23 758.12 350
4 23 641.52 357
4 23 787.04 360
4 23 749.75 352
4 23 773.87 365
4 24 702.89 365
4 24 676.57 354
4 25 758.38 360
4 25 659.60 361
4 25 803.99 384
4 25 726.94 357
4 25 695.81 378
4 25 668.78 371
5 25 702.83 377
5 25 607.26 379
5 25 778.38 397
5 25 754.31 400
5 26 803.36 377
5 26 794.51 376
5 26 656.43 365
5 26 695.72 376
5 26 708.65 366
5 26 760.02 357
5 26 739.45 373
5 26 728.87 376
5 27 697.90 365
5 27 683.49 372
5 27 802.57 374
5 27 683.04 384
5 28 725.09 367
5 28 722.32 379
5 28 757.80 374
5 29 743.25 417
5 30 705.61 429
5 30 823.40 413
5 31 705.24 411
5 31 792.83 388
5 32 687.52 448
5 32 819.91 406
5 34 743.38 440
5 37 728.13 456
5 40 652.08 429
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