Using table 1 forecast the growth in international tourists.

Table 1 shows that historical trend starting from the year 1950 to 2010. Based on the historical data, it can be concluded that a direct correlation exists between the international tourism arrivals (Y) and the international tourism receipts (X). A linear regression model can be used to forecast the trend of international tourism based on the data given in table 1. Upon application of the regression model, we get the following empirical relation between the independent (X) and dependent variables (Y).

Y = -116096 + 924.455 X

YearsInternational Tourism Arrivals (millions)International Tourism Receipts (US$ millions)
195025.32,100
196069.36,867
1970159.717,900
1980284.8102,372
1985321.2116,158
1990454.8255,000
1995567.0372,000
2000696.8477,000
2001692.6463,600
2005806.0680,000
2010940.0868.400
20201560.0
2021
2022
Table 1 International Tourism Arrivals: The Historical Trend Year

Upon application of the above equation, following the trend is observed in the international tourists, as shown in Table 2 only previous twenty-year data was used for predicting the tourist influx because the historical data shows high non-linearity based on the various economic crisis, which might not affect the results.

YearsInternational Tourism Arrivals (millions)International Tourism Receipts (US$ millions)
20201560.001,326,053.80
20211287.221,073,879.28
20221400.921,178,995.96
Table 2 International Tourism Arrival
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