Dependent Variable	Independent Variable
Axis	Y	X
Title	Flight Hours (1,000 hrs)	Starter Replacements
	30	8
	40	11
	70	12
	60	10
	80	15
	50	13
Results
	Questions to interpret the results of the regression analysis	Type answer in the box
	1. Is the regression model statistically significant (Yes or No)?
	2. Highlight the cell in green that corresponds to the statistic value you used to answer question #1.
	3. For each unit increase in Starter Replacements, how much do Flight Hours change?
	4. How much variability (in %) in Flight Hours, can be explained by the regression model with Starter Replacements as the independent variable?
	5. Highlight the cell in blue that corresponds to the statistic value you used to answer question #4.
	6. What is the projected Flight Hours (1000 hrs) when the Starter Replacements is 0?
	7. Highlight the cell in yellow that correponds to the Correlation Coefficient.
	8. If the Starter Replacements is 13, what are the estimated Flight Hours (1000 Hrs)?
	SUMMARY OUTPUT
	Regression Statistics
	Multiple R	0.770207984
	R Square	0.593220339
	Adjusted R Square	0.491525424
	Standard Error	13.34039361
	Observations	6
	ANOVA
		df	SS	MS	F	Significance F
	Regression	1	1038.135593	1038.135593	5.833333333	0.073139544
	Residual	4	711.8644068	177.9661017
	Total	5	1750
		Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
	Intercept	-13.22033898	28.76616241	-0.459579515	0.66968656	-93.08800981	66.64733184	-93.08800981	66.64733184
	Starter Replacements	5.93220339	2.45616555	2.415229458	0.073139544	-0.88720543	12.75161221	-0.88720543	12.75161221
	RESIDUAL OUTPUT			PROBABILITY OUTPUT
	Observation	Predicted Flight Hours (1,000 hrs)	Residuals		Percentile	Flight Hours (1,000 hrs)
	1	34.23728814	-4.237288136		8.333333333	30
	2	52.03389831	-12.03389831		25	40
	3	57.96610169	12.03389831		41.66666667	50
	4	46.10169492	13.89830508		58.33333333	60
	5	75.76271186	4.237288136		75	70
	6	63.89830508	-13.89830508		91.66666667	80