Lecture 18

We discuss transformations of the data, how to choose a transformation, and how to interpret the results after a transformation.

We consider transformation of the predictor variable with the head-width and femur-length data from previous lectures.

The following data have curvature and an increase in variance as the years of experience increases. Data from A Second Course in Statistics by Mendenhall and Sincich:

experience	salary
7	26075
28	79370
23	65726
18	41983
19	62309
15	41154
24	53610
13	33697
2	22444
8	32562
20	43076
21	56000
18	58667
7	22210
2	20521
18	49727
11	33233
21	43628
4	16105
24	65644
20	63022
20	47780
15	38853
25	66537
25	67447
28	64785
26	61581
27	70678
20	51301
18	39346
1	24833
26	65929
20	41721
26	82641
28	99139
23	52624
17	50594
25	53272
26	65343
19	46216
16	54288
3	20844
12	32586
23	71235
20	36530
19	52745
27	67282
25	80931
12	32303
11	38371