THIS SECTION PRESENTS EVERYTHING WE FOUND IN OUR STUDY that has a predictive effect on salary—with the warning, as stated earlier, that the variables may not control or cause salary changes. The model has an R-squared of 0.475, which means that the model explains approximately 48% of the variation in the sample salaries.
To use the model, proceed through the coefficients and add or subtract the ones associated with a feature that applies to you. Remember that some coefficients are multiplied by a factor: number of hours in your work week, years of experience, numbers of tools in a cluster. Once you sum up the coefficients, you will obtain an estimate for your annual total salary in US dollars.
Work week, per hour: +$988 Experience, per year: +$1,257 Bargaining skills, per point (scale of 1 to 5): +$4,290
United Kingdom, Ireland, Norway, Denmark: –$5,513 Germany, the Netherlands: –$12,495 France, Sweden, Belgium, Finland, Austria: –$22,283 Spain, Italy, Greece, Portugal, Turkey: –$35,911 Poland, Romania, Czech Republic, Ukraine, Hungary, Slovenia, Slovakia, Estonia, Bosnia and Herzegovina: –$42,594 Russia: –$45,224
Industry = Banking/Finance: +$16,260 Industry = Consulting (IT): +$8,419 Industry = Education: –$6,438 Company size = 1: +$8,832 Company size = 10,000 or more: +$5,156
Team size, per team member: +$184 Works with (other) programmers: +$5,332
Title = Architect: +$10,990 Title = Principal/Lead: +$6,254 No involvement ...