My variables are :

Y Variable : Starting Salary after college

X1 : What's more valuable time or money

X2 : College Debt after college

X3 : Personal fulfillment in your job after college

Structure : Intro - what is the idea underlying your model, and specially how does your X variables support them

Body - Analyze the data within the context

Conclusion - Summary/Possible changes

Intro so far : After graduating what do you expect your starting salary to be? Knowing that do you value time or money in regards to your future. Does your college debt affect your decision to find personal fulfillment in your job or are you only interested in making money and paying off your college debt?

Here's the data :

Regression Statistics
Multiple R	0.25
R Square	0.06
Adjusted R Square	0.02
Standard Error	17655.03
Observations	64.00
ANOVA
	df	SS	MS	F	Significance F
Regression	3.00	1294984861.56	431661620.52	1.38	0.26
Residual	60.00	18702015138.44	311700252.31
Total	63.00	19997000000.00
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	80910.50	13193.57	6.13	0.00	54519.44	107301.56
Value: T/M	2859.99	5346.76	0.53	0.59	-7835.13	13555.10
Work Hrs	-63.16	187.82	-0.34	0.74	-438.85	312.52
Job Fulfillment	-3960.95	2056.50	-1.93	0.06	-8074.56	152.65

	Value: T/M	Work Hrs	Job Fulfillment
Value: T/M	1.0000
Work Hrs	0.0512	1.0000
Job Fulfillment	-0.0220	0.0116	1.0000

Please analyze the data thoroughly and give examples/suggestions on ways the model can be improved.

Thank you!