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.

1. 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?
2. 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?
3. 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

Answer rating: 100% (QA)

To estimate the linear and logarithmic models you can use a statistical software or calculator Since I cannot perform these calculations directly Ill ... View the full answer