"SUMMARY OUTPUT Regression StatisticsMultiple R 0.856124R Square 0.732949Adjusted R Square 0.712407Standard Error 1.097343Observations 15 ANOVASignificancedf SS MS F FRegression 1 42.96428 42.96428 35.67985 4.64E-05Residual 13 15.65409 1.204161Total 14 58.61837 Standard Upper Lower UpperCoefficients Error t Stat P-value Lower 95% 95% 95.0% 95.0%Intercept 1.381431 0.294246 4.694823 0.000419 0.745752 2.01711 0.745752 2.01711Gross fixed capital formation (annual %growth) 0.336775 0.05638 5.973262 4.64E-05 0.214972 0.458577 0.214972 0.458577 RESIDUAL OUTPUT Predicted GDP growth (annual StandardObservation %) Residuals Residuals1 2.536257 1.232608 1.1656692 0.927267 1.737268 1.642922 3 2.21633 0.235951 0.223138 4 2.415093 1.885351 1.782963 5 2.469773 -0.01588 -0.01502 6 1.935763 0.870785 0.823495 7 2.483549 0.558549 0.528216 8 3.151603 -0.59597 -0.5636 9 -0.19995 -0.13209 -0.12492 10 -3.46406 -0.84656 -0.80058 11 3.376842 -1.46546 -1.38588 12 2.163443 -0.51832 -0.49017 13 1.629125 -0.97009 -0.91741 14 2.517143 -0.85244 -0.80615 15 3.676726 -1.12369 -1.06267 Brazil: The correlation analysis of Brazil is based on the data set of the 15 years. The analysis hasbeen done by using the software, Ms Excel. The correlation and the regression analysis has beendone here.Country Name Brazil BrazilGross fixed capital formation (annual %Indicator Name growth) GDP growth (annual %)2000 4.810591 4.3830252001 1.062373 1.2790252002 -1.54034 3.0717252003 -3.89289 1.2232052004 8.403998 5.6606742005 2.336538 3.14892006 6.080855 3.9993242007 12.02194 6.0058022008 12.68913 5.0193162009 -1.87455 -0.235982010 17.78962 7.5720672011 6.583984 3.9163822012 -0.58219 1.7624892013 6.116983 2.7436972014 -4.40224 0.144707 (The World Bank, 2015)The correlation Analysis: The correlation value of the above data set is .917802. The correlationvalue should lie within +1 to -1. This is also highly correlation between the variables. Therespective result shows that the relationship between the GFCF and the economic growth rate ispositive here.Regression Analysis: The p value is less than 0.05. So the variables are positively related for thecountry Brazil. The result is positively significant.SUMMARY OUTPUTRegression Statistics MultipleR 0.917802 R Square 0.84236 AdjustedR Square 0.830234 StandardError 2.683709 Observati ons 15 ANOVA Significa df SS MS F nce F Regressio 500.31 500.31 69.466n 1 81 81 5 1.42E-06 93.629 7.2022 Residual 13 81 93 593.94 Total 14 79 Standa rd P- Lower Upper Lower UpperCoefficients Error t Stat value 95% 95% 95.0% 95.0%- - 1.2702 - 0.0036 1.7554 - 1.7554 Intercept -4.49966 64 3.5423 09 -7.2439 2 7.2439 2GDPgrowth(annual 0.3213 8.3346 1.42E- 1.98411 3.3725 1.9841 3.3725 %) 2.678347 51 57 06 1 82 11 82 RESIDUAL OUTPUT Standa Predicted Gross fixed rdObservati capital formation Residu Residu on (annual % growth) als als - -2.4290 0.9392 1 7.239598 1 6 2.1363 0.8260 2 -1.07399 62 99"