1. Run a multiple linear regression using revenue as the dependent variable and all variables in the X2 variables file as the independent variables. Report the regression line.
2. Perform a global F test to determine if the model is valid at the 5% significant level.
3. Interpret the coefficient for Interest rate.

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.9332593
R Square	0.87097292
Adjusted R Square	0.86732121
Standard Error	293.770445
Observations	110
ANOVA
	df	SS	MS	F	Significance F
Regression	3	61751263.1	20583754.4	238.510986	5.6798E-47
Residual	106	9147913.89	86301.0745
Total	109	70899177
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	-1915.7308	1534.15176	-1.2487231	0.21451719	-4957.3358	1125.87431	-4957.3358	1125.87431
Disposable income	0.35718398	0.0215341	16.5868998	3.1777E-31	0.31449053	0.39987744	0.31449053	0.39987744
Interest rate	-21.48738	24.5506279	-0.8752273	0.38342913	-70.161387	27.1866278	-70.161387	27.1866278
Employment	-1.5275539	21.9825184	-0.0694895	0.94473092	-45.110035	42.0549268	-45.110035	42.0549268