Did I do this problem correctly?

A person wants to know whether earning a degree can help improve an individual's income in his county. He conducts a survey and obtains the following result:

Education attainment	Annual income
Below 30,000	30,001-50,000	50,001-70,000	Above 70,000
No degree	29	26	19	5
Associate's	35	39	36	10
Bachelor's	45	50	55	10
Master's	5	15	21	8
PhD or Professional	3	6	9	9

Use SPSS to dothe following:

1. Show the observed frequencies and expected frequencies.
2. At = 0.1 level of significance, determine whether there is evidence of a relationship between education attainment and income.

Income * Education Crosstabulation
	Education	Total
No Degree	Associate's	Bachelor's	Master's	PhD or Professional
Income	Below 30,000	Count	29	35	45	5	3	117
Expected Count	21.2	32.3	43.0	13.2	7.3	117.0
30,001-50,000	Count	26	39	50	15	6	136
Expected Count	24.7	37.5	50.0	15.3	8.4	136.0
50,001-70,000	Count	19	36	55	21	9	140
Expected Count	25.4	38.6	51.5	15.8	8.7	140.0
Above 70,000	Count	5	10	10	8	9	42
Expected Count	7.6	11.6	15.4	4.7	2.6	42.0
Total	Count	79	120	160	49	27	435
Expected Count	79.0	120.0	160.0	49.0	27.0	435.0
	Chi-Square Tests
		Value	df	Asymptotic Significance (2-sided)
	Pearson Chi-Square	36.332a	12	<.001
	Likelihood Ratio	32.271	12	.001
	N of Valid Cases	435
	a. 2 cells (10.0%) have expected count less than 5. The minimum expected count is 2.61.

P-value = Asymp. Sig. = 0.001 < (0.1). Therefore, there is evidence of a relationship between education and annual income.

Note: The Pearson Chi-Square value of 36.332^a is the -statistic as discussed.