A manufacturing manager uses a dexterity test on 20 current employees in order to predict watch production based on time to completion (in seconds) A portion of the data is shown below Estimate the linear model Watches Bo B,Time Interpret the slope coefficient If the time required to complete the dexterity test is 550 seconds, what is the predicted watch production Estimate the logarithmic model Watches Bo B, In(Time) Interpret the slope coefficient If the time required to complete the dexterity test is 550 seconds, what is the predicted watch production Which model provides a better fit Explain Watches Time 23 513 19 608 10 915 30 314 15 896 18 694 22 514 26 450 11 922 28 388 23 494 20 566 18 705 28 383 12 937 14 921 20 476 21 556 14 825 20 437 Watches Time 23 513 19 608 10 915 30 314 15 896 18 694 22 514 26 450 11 922 28 388 23 494 20 566 18 705 28 383 12 937 14 921 20 476 21 556 14 825 20 437

Question: A manufacturing manager uses a dexterity test on 20 current employees in order to predict watch production based on time to completion (in seconds). A

A manufacturing manager uses a dexterity test on
20 current employees in order to predict watch production based on time to completion (in seconds). A portion of the data is shown below.

Estimate the linear model: Watches = Bo + B,Time + &. Interpret the
slope coefficient. If the time required to complete the dexterity test is 550 seconds, what is the predicted watch production?
Estimate the logarithmic model: Watches = Bo + B, In(Time) + &.
Interpret the slope coefficient. If the time required to complete the dexterity test is 550 seconds, what is the predicted watch production?
Which model provides a better fit? Explain.

Watches	Time
23	513
19	608
10	915
30	314
15	896
18	694
22	514
26	450
11	922
28	388
23	494
20	566
18	705
28	383
12	937
14	921
20	476
21	556
14	825
20	437

Watches	Time
23	513
19	608
10	915
30	314
15	896
18	694
22	514
26	450
11	922
28	388
23	494
20	566
18	705
28	383
12	937
14	921
20	476
21	556
14	825
20	437

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