Journal of marketing, business and management (jmbm)



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2.Ashurov B.

R squared

Coeffi-cients

Standard error

t-statistics

P-value

Intercept

0,97


38,33166

0,645144

57,88

0,000

Internal tourism consumption, in billion US dollar

40,30478

1,644099

21,98

0,000

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.




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