SUMMARY OUTPUT
Regression Statistics
Multiple R	0.253
R Square	0.064
Adjusted R Square	0.045
Standard Error	5782.082
Observations	52.000
ANOVA
	df	SS	MS	F	Significance F
Regression	1.000	114106219.739	114106219.739	3.413	0.071
Residual	50.000	1671623638.030	33432472.761
Total	51.000	1785729857.769
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	24696.789	937.978	26.330	0.000	22812.806	26580.773	22812.806	26580.773
X Variable 1	-3339.647	1807.716	-1.847	0.071	-6970.550	291.257	-6970.550	291.257

1. What is the value of intercept in the equation?
2. What is the value of slope parameter for variable 1 in the estimated equation?
3. Write down the value of t-ratio for both intercept and slope parameter for 1.
4. How do you interpret the value of estimated coefficient (slope parameter) for variable 1?
5. Is the estimated coefficient for variable 1 statistically significant? How do you determine statistical significance?
6. What is the P-value for estimated coefficient of 1? How do you interpret that?
7. What is the value of "coefficient of Determination" or R²in the estimated regression equation?
8. How do you interpret the value of R^2?
9. What is the value of Residual? How do you interpret the value of residual in a regression equation?