Hello, using the attavhed data variabled please assist with the following:Using R-Studio, estimate a regression equation to determine the effect of unemployment, general level, wages and life expectancy at birth for both sexes on the net migration rate. (All codes and regression output should be provided, A screenshot will suffice). (i) Write down the regression equation **Demographic and Economic Data Overview (1993-2007)**This table presents a comprehensive set of demographic and economic indicators for each year from 1993 to 2007. It includes the following data points:- **Net Migration Rate**: This column reflects the rate of net migration, which is negative throughout the years, indicating more people leaving than entering. - **Total Fertility**: This metric indicates the average number of children born per woman during her lifetime. Total fertility shows a slight downward trend from 3.2163 in 1993 to 2.4212 in 2007. - **Unemployment General Level**: This column shows the general level of unemployment. It reveals fluctuations, with figures such as 819.132 in 1993 and rising to 1505.196 by 2007. - **Wages**: Wages data is provided for each year, reflecting changes in average earnings, which increased from 1044 in 1993 to 4716 in 2007. - **Life Expectancy at Birth**: This statistic provides the average expected lifespan at birth, showing an increasing trend from 70.9423 in 1993 to 74.2384 in 2007.This data is useful for analyzing the correlations between economic conditions and demographic changes over this 15-year period. It highlights trends such as the increase in wages and life expectancy, alongside changes in fertility and migration rates.

A multiple linear regression model shows a relationship between 1 dependent variable and more than 1 independent variablesA multiple linear regression model using R is computed as shown below.The code is as follows:The output is as follows:(i)The regression equation is as follows:The R-code is as follows:The output is as follows:(i)The regression equation is as follows: