Table 1
Wage and Related Data for 523 Workers
ID	Wage	Education	Experience
1	6.63	9	21
2	6.44	10	42
3	8.68	14	1
4	5.20	14	4
5	9.75	14	17
6	17.00	15	9
7	5.79	12	27
8	25.32	14	9
9	17.27	19	11
10	11.38	14	9
11	14.76	14	17
12	14.95	14	19
13	8.45	9	27
14	8.13	10	30
15	25.98	10	29
16	9.49	14	37
17	10.40	8	44
18	28.86	14	26
19	4.75	13	16
20	26.72	14	33
21	7.43	14	16
22	9.10	8	42
23	4.88	14	9
24	5.85	13	14
25	12.43	14	23
26	7.48	7	45
27	12.17	14	8
28	8.45	12	30
29	4.36	14	8
30	6.18	14	8
31	11.57	16	13
32	5.20	14	46
33	6.11	9	19
34	6.50	20	1
35	12.03	14	19
36	13.88	14	36
37	9.90	14	20
38	13.00	14	35
39	9.75	14	3
40	15.86	16	10
42	14.30	16	14
43	15.60	14	14
44	6.31	10	16
45	5.59	15	8
46	7.80	8	15
47	19.50	19	12
48	6.31	12	13
49	11.70	9	33
50	8.27	14	9
51	11.90	14	7
52	14.30	19	13
53	5.85	14	7
54	6.24	14	16
56	7.15	14	11
57	10.92	15	17
58	8.78	12	13
59	13.00	14	22
60	6.50	14	28
61	8.45	13	17
62	13.98	14	24
63	9.10	3	55
64	14.86	14	3
65	5.20	14	6
66	11.70	12	27
67	16.90	14	19
68	15.89	14	19
69	8.17	14	38
70	8.78	12	41
71	4.36	13	3
72	20.80	16	20
73	6.83	12	15
74	4.55	9	8
75	5.49	9	39
76	3.90	7	43
77	5.20	13	25
78	13.00	14	11
79	6.50	14	12
80	20.80	14	35
81	18.18	16	14
82	17.24	14	16
83	7.93	12	44
84	4.88	19	13
85	11.70	15	8
86	12.29	14	13
87	7.15	13	18
88	11.61	14	18
89	8.13	14	6
90	12.68	13	37
91	8.75	14	2
92	10.12	14	23
93	3.71	14	1
94	4.36	14	10
95	25.98	14	23
96	11.05	14	8
97	12.68	18	9
98	19.50	14	33
99	10.40	14	19
100	14.63	15	14
101	18.20	13	13
102	13.00	12	12
103	8.45	14	8
104	12.78	14	23
105	24.05	16	13
106	16.25	14	9
107	33.80	16	21
108	18.20	6	44
109	13.65	14	4
110	14.30	9	42
111	16.22	15	10
112	16.25	14	11
113	19.50	14	40
114	7.80	14	8
115	12.35	13	29
116	6.50	19	3
117	4.88	13	11
118	16.35	14	12
119	8.95	9	22
120	7.15	14	12
121	9.10	14	7
122	5.85	14	15
123	8.45	14	28
124	15.60	14	20
125	6.50	14	6
126	8.45	14	5
127	8.84	10	30
128	11.38	15	18
129	4.88	14	6
130	5.85	14	16
131	7.80	14	1
132	7.15	14	3
133	16.90	14	8
134	7.35	16	2
135	6.24	10	16
136	9.10	12	9
137	6.83	14	2
138	4.36	8	43
139	11.05	10	38
140	7.80	14	9
141	8.78	14	12
142	11.56	14	18
143	18.48	13	15
144	14.02	13	28
145	11.57	12	27
146	9.75	14	38
147	5.85	14	3
148	14.63	14	41
149	17.49	14	16
150	7.80	15	7
151	6.01	7	33
152	13.76	16	25
153	6.50	14	5
154	10.66	16	17
155	8.13	14	1
156	11.05	14	13
157	32.48	19	18
158	21.65	16	21
159	8.13	16	2
160	5.92	14	4
161	14.63	14	30
162	27.63	15	32
163	16.45	20	13
164	9.75	14	17
165	13.33	16	26
166	4.36	19	9
167	17.49	19	8
168	6.30	18	1
169	34.18	20	32
170	8.56	14	24
171	57.85	16	1
172	19.50	14	42
173	14.63	19	3
174	9.10	14	32
175	13.00	16	22
176	18.89	19	18
177	26.00	21	19
178	29.25	18	12
179	4.74	14	42
180	13.81	14	34
181	32.48	21	29
182	7.80	19	8
183	24.70	21	13
184	17.16	19	10
185	29.25	19	22
186	19.50	19	10
187	8.95	20	15
188	15.40	14	26
189	20.99	16	16
190	18.14	21	14
191	17.11	14	38
192	6.89	14	14
193	5.85	14	7
194	13.00	21	13
195	13.00	12	20
196	13.00	19	7
197	12.19	19	26
198	7.54	19	14
199	23.22	15	36
200	1.30	14	24
201	11.44	16	41
202	11.70	19	7
203	23.61	20	14
204	10.16	14	1
205	13.81	19	6
206	5.85	14	3
207	22.43	18	31
208	13.65	15	14
209	11.99	16	13
210	19.50	19	26
211	29.25	21	14
212	5.92	15	33
213	11.70	14	16
214	17.33	21	10
215	19.50	16	22
216	9.75	16	2
217	5.53	14	29
218	16.25	14	43
219	6.67	14	5
220	4.36	19	14
221	14.45	14	28
222	5.00	13	25
223	8.32	14	45
224	7.23	16	5
225	13.00	14	20
226	7.35	19	6
227	14.95	19	16
228	4.55	13	33
229	4.36	15	2
230	6.18	14	10
231	25.98	16	44
232	4.55	16	6
233	5.20	14	15
234	9.10	14	5
235	8.13	15	4
236	5.85	16	14
237	18.58	16	32
238	6.50	14	14
239	17.88	16	21
240	17.83	14	43
241	9.75	14	27
242	4.94	14	4
244	12.25	14	32
245	7.15	14	20
246	4.88	18	4
247	4.55	14	34
248	7.54	15	5
249	15.60	20	13
250	6.50	16	17
251	11.38	15	10
252	13.00	19	7
253	11.05	14	25
254	11.22	14	18
255	11.70	19	27
256	7.15	19	2
257	14.45	15	13
258	13.00	16	24
259	6.76	21	13
260	10.40	16	15
261	4.63	14	12
262	6.76	14	24
263	15.18	14	43
264	14.72	14	13
265	9.75	14	16
266	7.15	13	24
267	6.50	19	4
268	10.08	14	24
269	6.83	14	45
270	11.70	14	20
271	12.55	14	38
272	6.78	21	10
273	9.10	13	16
274	15.81	14	32
275	6.83	19	2
276	13.42	15	28
277	4.36	19	3
278	10.01	15	8
279	11.93	14	44
280	10.96	14	12
281	5.20	14	8
282	5.37	14	4
283	3.90	14	28
285	9.79	16	1
286	13.69	16	12
287	6.50	14	39
288	19.54	14	24
289	14.63	20	32
290	8.13	19	4
291	4.55	14	25
292	8.91	14	8
293	16.25	15	16
294	15.60	14	5
295	7.80	15	31
296	12.35	14	25
297	5.33	14	15
298	13.56	16	15
300	10.00	14	19
301	7.15	14	21
302	8.32	14	6
303	16.25	14	14
304	8.13	15	30
305	10.40	14	8
306	12.48	10	33
307	11.83	15	16
308	9.75	14	20
309	6.50	15	6
310	9.10	14	10
311	4.62	15	1
312	11.05	14	2
314	10.25	19	17
315	6.83	14	8
316	6.50	14	4
317	12.13	14	15
318	13.65	14	29
319	9.75	14	23
320	12.35	14	39
321	12.48	14	14
322	7.64	20	6
323	14.33	16	12
324	6.50	14	26
325	7.31	16	32
326	16.25	18	6
327	14.06	14	40
328	7.02	14	18
329	9.10	13	12
330	5.97	14	36
331	7.80	14	19
332	15.23	19	42
333	7.31	15	2
334	7.15	14	33
335	6.31	14	14
336	8.78	14	22
337	5.53	14	20
338	7.48	14	15
339	4.55	14	35
340	4.36	14	7
341	13.81	14	45
342	10.40	14	9
343	6.18	14	2
344	11.05	20	3
345	11.51	16	19
346	10.40	14	14
347	7.80	4	54
348	9.29	16	17
349	4.42	9	29
350	7.80	18	26
351	4.88	2	16
352	11.56	9	29
353	5.66	13	20
354	17.03	12	38
355	5.66	9	37
356	4.55	10	48
357	4.94	14	16
358	6.84	9	38
360	21.14	14	14
361	5.53	14	2
362	5.85	19	21
363	10.40	15	15
364	5.20	19	20
365	10.35	16	12
366	5.20	14	7
367	5.40	13	4
368	7.74	15	9
369	4.68	14	43
370	11.38	12	19
371	4.42	9	49
372	5.57	14	38
373	6.96	14	13
374	6.50	14	14
375	9.95	14	20
376	9.03	14	7
377	9.75	14	9
378	4.68	14	6
379	2.28	14	5
380	4.49	15	1
381	12.52	16	22
382	11.04	14	24
383	11.69	14	15
384	4.75	13	8
385	4.55	13	17
386	4.46	14	2
387	7.15	14	20
388	9.01	14	26
389	4.57	12	37
390	4.88	14	41
391	5.43	14	27
392	12.45	14	5
393	19.08	16	16
394	16.25	16	19
395	7.15	14	10
396	6.70	15	1
397	10.40	14	43
398	7.58	15	3
400	9.10	14	26
401	13.00	12	25
402	10.40	14	15
403	8.95	16	10
404	7.22	13	45
405	9.75	13	3
406	11.61	9	47
407	11.70	19	6
408	4.55	12	33
409	7.51	19	3
410	32.50	16	4
411	8.91	16	34
412	8.45	13	39
413	4.88	14	17
414	4.55	10	47
415	5.85	13	2
417	5.43	16	24
418	16.90	14	25
419	5.18	16	6
420	9.75	14	10
421	17.06	14	33
422	5.20	14	12
423	5.14	14	9
424	16.90	13	18
425	11.70	14	10
426	5.92	9	45
427	12.35	10	46
428	5.85	8	14
429	11.38	13	36
430	13.00	15	34
431	23.40	21	15
432	32.48	20	31
433	15.67	19	6
434	28.60	16	15
435	11.38	14	30
436	28.86	21	8
437	22.43	21	5
438	7.80	20	3
439	10.48	15	17
440	12.02	19	5
441	15.60	16	10
442	13.80	18	33
443	7.43	21	3
445	22.75	19	13
446	19.50	21	12
447	10.12	19	6
448	10.14	20	7
449	13.00	19	14
450	32.48	20	5
451	13.37	18	10
452	19.50	21	11
453	15.60	20	24
454	13.76	19	9
455	7.61	21	12
456	14.59	21	19
457	11.13	16	14
458	18.06	19	17
459	7.43	21	7
460	20.53	21	7
461	9.75	19	22
462	14.63	14	28
463	8.00	19	16
464	17.49	19	16
465	8.13	19	7
466	8.45	14	11
467	15.60	14	11
468	11.05	14	16
469	10.40	21	33
470	7.48	14	21
471	20.45	19	4
472	12.82	18	13
473	17.57	21	14
474	7.02	19	10
475	8.13	21	14
476	7.15	19	29
477	6.50	14	4
478	8.13	21	27
479	7.48	14	3
480	26.65	19	14
482	9.10	21	33
483	23.40	19	38
484	15.60	21	18
485	26.52	20	3
486	28.86	21	40
487	21.35	16	19
488	11.22	16	4
489	25.20	19	11
490	18.20	19	16
491	13.00	16	22
492	20.74	20	13
493	26.00	19	28
494	13.00	19	10
495	32.48	19	5
496	14.63	18	5
497	29.68	21	37
498	13.26	20	26
499	13.00	19	4
500	18.20	21	31
501	16.25	20	13
502	7.53	14	42
503	32.48	20	18
504	5.66	14	3
505	14.63	20	10
506	8.68	19	10
507	10.40	19	17
508	23.61	21	7
509	15.60	19	14
510	11.56	19	22
511	12.35	20	14
512	17.75	19	11
513	15.60	21	23
514	19.50	14	39
515	16.48	19	15
516	9.60	16	15
517	20.23	19	10
518	9.69	14	25
519	8.13	16	12
520	8.13	19	7
521	12.19	20	7
522	29.25	19	17
523	9.75	19	10
524	9.10	20	2
525	7.48	10	34
526	9.98	18	11
527	16.25	18	10
528	20.80	14	12
529	15.33	19	6
530	14.77	21	5
531	7.93	14	33
532	30.23	20	25
533	25.85	14	13
534	20.00	19	33

Refer to the wage data given in Table 1 and consider the following model: Wage; = B1 + B2 Education, + 83Experience, + uj a. Estimate the regression. (5 marks) b. For this regression, obtain the absolute values of the residuals as well as their squared values and plot each against education and experience. Is there any evidence of heteroscedasticity? (10 marks) C. Do the Park and Glejser tests on the residuals of this regression with the estimated wage (Wage,) is treated as the independent variable. What conclusions can you draw? (5 Marks) d. If heteroscedasticity is found, what kind of WLS transformation would you recommend to eliminate it? (5 Marks) e. Run the WLS transformation regression and show the results