The Model in Full
THE MODEL HAS R2 OF 0.587: this means the model explains approximately 59% of the variation in the sample salaries. The intercept has been combined with the geographical coefficients, of which you select one. You then proceed through the coefficients, adding or subtracting the ones associated with a feature that applies to you. Once you sum up the coefficients, you will obtain the model’s estimate for your annual total salary in US dollars.
GEOGRAPHY:
- Australia/NZ: +$65,334
- Canada: +$54,658
- Western Europe: +$40,831
- Asia: +$27,094
- Latin America: +$15,860
- Africa: +$13,058
- Eastern Europe: +$11,511
- US California: +$113,507
- US Mid Atlantic: +$92,467
- US Texas: +$84,910
- US Southwest/Mountain: +$84,211
- US South: +$79,422
- US Midwest: +$76,327
EXPERIENCE:
- Experience, per year: +$1,384
EDUCATION:
- Master’s degree: +$5,940
- PhD (in addition to Master’s): +$22,014
GENDER:
- Female: –$6,120
TITLE:
- VP/Director: +$31,204
- C-Level: +$20,429
- Engineering manager: +$19,918
- Architect/Technical lead: +$14,287
- Data scientist/analyst: –$8,693
INDUSTRY:
- Search/Social networking: +$16,454
- Banking/Finance: +$12,780
- Government: –$10,323
- Nonprofit/Trade Association: –$12,156
- Education: –$18,459
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