Can someone help me to use this values to answer this questions.

• Is this model significant? If yes, explain its significance. What statistic makes it significant and what are the implications of that statistic? What is the overall significance of the model? Hint: Look at the ANOVA table.
• How much of the variance in CVD mortality rate is explained by this regression model? Hint: Look at the adjusted R square. What statistic indicates variance and why is that statistically significant? What are the implications of the statistic?
• Which of the correlation coefficients are statistically associated with CVD mortality rate? What is the significance of the correlation? Explain the implications of the correlation.
• Describe what your regression analysis tells you about the factors that explain or predict the U.S. CVD mortality rate.
• Are the results of your findings supported in the literature? Provide at least 1 current peer-reviewed reference within the past 5 years to support your answer.

Regression Statistics
Multiple R	0.714077
R Square	0.509906
Adjusted R Square	0.489486
Standard Error	21.21556
Observations	51
ANOVA
	df	SS	MS	F	Significance F
Regression	2	22478.2	11239.1	24.97022	3.69E-08
Residual	48	21604.81	450.1002
Total	50	44083.01
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	180.1225	34.57235	5.210014	3.93E-06	110.6101	249.6348	110.6101	249.6348
TobaccoSmokPer	3.051248	1.158676	2.633393	0.011341	0.721575	5.380922	0.721575	5.380922
AdultPhysExPer	-2.88042	0.823492	-3.49781	0.001022	-4.53616	-1.22468	-4.53616	-1.22468