Sherry is a production manager for a small manufacturing shop and is interested in developing a predictive model to estimate the time to produce an order of a given size---- that is, that total time (in minutes) to produce a certain quantity of the product. She has collected data on the total time to produce 30 different orders of various quantities in the file Setup. A)Write out the estimated linear regression equation. ( define the variables first.) B) Interpret the intercept coefficient. C)Interpret the slope coefficient. D) Test for a significant relationship. Use α = 0.05. file Setup Quantity 105 125 135 141 149 171 190 204 206 240 255 277 299 335 371 388 392 400 421 439 439 455 458 480 486 493 506 586 589 665 Total Time 173 188 222 324 249 318 371 185 250 176 396 226 227 368 490 352 429 411 545 442 320 588 484 512 422 404 700 592 457 642

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Sherry is a production manager for a small manufacturing shop and is interested in developing a predictive model to estimate the time to produce an order of a given size---- that is, that total time (in minutes) to produce a certain quantity of the product. She has collected data on the total time to produce 30 different orders of various quantities in the file Setup.

A)Write out the estimated linear regression equation. ( define the variables first.)

B) Interpret the intercept coefficient.

C)Interpret the slope coefficient.

D) Test for a significant relationship. Use α = 0.05.

file Setup

Quantity
105
125
135
141
149
171
190
204
206
240
255
277
299
335
371
388
392
400
421
439
439
455
458
480
486
493
506
586
589
665
Total Time
173
188
222
324
249
318
371
185
250
176
396
226
227
368
490
352
429
411
545
442
320
588
484
512
422
404
700
592
457
642
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