estimate the following multiple regression model log(___) = 0 + 1log(___) + 2__ + Report your regression results in a sample regression function. Interpret the estimated coefficient of gdp_per_capita. Using the regression results, predict the number of total_deaths_per_million for Australia (with gdp being 44.64871 and total deaths per million being 122946.616 ) and compare your prediction with the actual number of total_deaths_per_million observed for Australia (198.967). Using the estimated model, test whether the coefficient of gdp_per_capita is statistically significant at 1% level of significance

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.925556449
R Square	0.856654741
Adjusted R Square	0.852499806
Standard Error	0.629556433
Observations	72
ANOVA
	df	SS	MS	F	Significance F
Regression	2	163.4334357	81.7167178	206.177649	7.8564E-30
Residual	69	27.34754985	0.3963413
Total	71	190.7809855
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	4.929827411	0.330355242	14.9228067	2.7426E-23	4.27078674	5.58886809	4.27078674	5.58886809
gdp_per_capita	0.032793643	0.004057445	8.08233731	1.4132E-11	0.02469926	0.04088802	0.02469926	0.04088802
log(total deaths per million)	0.832472976	0.049339123	16.872472	3.4659E-26	0.73404412	0.93090183	0.73404412	0.93090183