1. Write down the estimated equation with estimated intercept and slope parameters for each independent variable.
2. Write down the interpretation of each estimated coefficient in word? What does it mean?
3. Which estimated coefficients are statistically significant? Which one are not statistically significant?
4. What is value of R² for the estimated model?
5. How do you interpret the value of R² ?
6. Write down the t-ratio for all estimated slope parameters. What does it mean when t-ratio has a small or big value?

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.925
R Square	0.855
Adjusted R Square	0.839
Standard Error	2374.842
Observations	52.000
ANOVA
	df	SS	MS	F	Significance F
Regression	5.000	1526295573.004	305259114.601	54.125	0.000
Residual	46.000	259434284.765	5639875.756
Total	51.000	1785729857.769
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	11410.147	1081.052	10.555	0.000	9234.101	13586.192	9234.101	13586.192
sx	1241.792	885.560	1.402	0.168	-540.747	3024.332	-540.747	3024.332
rk	5586.181	663.967	8.413	0.000	4249.685	6922.678	4249.685	6922.678
yr	482.860	91.718	5.265	0.000	298.242	667.478	298.242	667.478
dg	-1331.644	992.854	-1.341	0.186	-3330.156	666.868	-3330.156	666.868
yd	-128.791	75.582	-1.704	0.095	-280.928	23.347	-280.928	23.347