# 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

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.

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