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 fileSetup.

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

B) Interpret the intercept coefficient.

C)Interpret the slope coefficient.

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

E) Did the estimated linear regression equation provide a good fit?

fileSetup.

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