As the p-values for both intercept and the independent variable are equal to zero, we can say that the parameters are statistically significant. Together with this, the R squared is very high, [26]meaning that internal tourism consumption explains 97% change in female employment rate in services. All in all, we write down our model in the following way:
That is, a 1 billion increase in domestic tourism consumption is accompanied by a 40.3 percent increase in women’s employment. For example, the additional consumption of 100 million from domestic tourism will lead to a 4 percent increase in women’s employment.
