• Given are the following dataforJordanfor the period from 1980 to 2014????
• 1- Estimate the model
• 2- According to the results of your estimation for the above regression, explain what is the effect of trade on the gross domestic product in Jordan
• 3- According to your estimation, explain what the coefficient of determination R2 means.
• 4- Test the overall significance of the regression above
• 5- Estimate the model in the form logarithm- logarithm and explain the meaning of the parameter ??2
• 6- Calculate the value of the variance of the regression in the logarithm form.
• 7- According to the results of your estimation of the regression in the logarithm form,
• Calculate the value of the total sum square TSS (2 points)
• 8- How much is the estimated error in 2000 according to the results of the regression in the logarithm form (1 points

Given are the following data forJordan for the period from 1980 to 2014, which you find them also saved on your desktop Consider the data above for answering the following questions 1- Estimate the model 2- According to the results of your estimation for the above regression, explain what is the effect of trade on the gross domestic product in Jordan 3- According to your estimation, explain what the coefficient of determination R2 means. 4- Test the overall significance of the regression above 5- Estimate the model in the form logarithm- logarithm and explain the meaning of the parameter *2 6- Calculate the value of the variance of the regression in the logarithm form. 7- According to the results of your estimation of the regression in the logarithm form, Calculate the value of the total sum square TSS (2 points) 8- How much is the estimated error in 2000 according to the results of the regression in the logarithm form (1 points GDP Labor (1.) Capital (K) human development year trade index (hdi) 1980 1164.8 836.084 0.405 4309.7G 0.592 1981 1 0.418 5193.3646 0.593 1982 1619.9 0.432 6064.6627 0.604 1983 1786.G 0.445 -4682 0.609 1984 1909.7 0.459 27.5748 0.61 1985 1970.5 1329.791 0.472 7844.5244 0.62 1986 2240.5 1075. 0.493 8091 -6244 0.62G 1987 2286.7 1164 0.509 8387.0252 0.628 1988 2349.5 1347.258 0.522 9263.8458 0.629 1989 2425.4 176 0.524 4.691 0.629 1990 2760.9 0.524 4516.227 0.63 1991 0.525 0.64 1992 3610.5 0.600 5.008 0.65 0.657 19323.271 0.66 1994 4357.4 0.835 1080.907 0.67 1995 4714 0.836 0.69 1996 491 0.875 0.69 1997 5137.4 3975. 0.884 26G82.11 0.697 1998 5609.9 3760.756 0.903 28117.064 0.7 1999 5778.1 3686.56 0.956 28851.194 0.705 2000 5998.6 4340.221 0.985 29713.846 0.71 2001 6363.7 4806.1 1.003 30873.069 0.715 2002 6794 $155.908 1.031 4.076 0.72 2003 7228.8 1.049 3586.821 0.725 2004 8090.7 1.094 35826.808 0.736 2005 8925.4 10013.086 1.024 39212.876 0.737 2006 10675.4 11117. 1.056 43687.5 0.74 2007 12131.4 1.140 48254.95 0.743 2008 15593.4 16492 1.173 58380.31 1 0.741 2009 16912.2 13680 1.221 61027 926 0.75 2010 18762 15267.( 1.236 67283.947 0.744 2011 20476.6 18246.088 1.251 73101.07 0.74 2012 21965.5 19483.319 1.268 79517.957 0.744 2013 23851.6 20472.578 1.263 86577.918 0.745 2014 25437.1 21309.56 1.287 92420.869 0.745