Simple linear regression results:
Dependent Variable: Navel Ht (in.)
Independent Variable: Height (in.)
Navel Ht (in.) = 17.835625 + 0.33706826 Height (in.)
Sample size: 26
R (correlation coefficient) = 0.3855
R-sq = 0.1485748
Estimate of error standard deviation: 3.005453

Parameter estimates:

Parameter	Estimate	Std. Err.	Alternative	DF	T-Stat	P-Value
Intercept	17.835625	11.221923	≠ 0	24	1.5893555	0.1251
Slope	0.33706826	0.16470732	≠ 0	24	2.046468	0.0518

Analysis of variance table for regression model:

Source	DF	SS	MS	F-stat	P-value
Model	1	37.82943	37.82943	4.188031	0.0518
Error	24	216.78595	9.032748
Total	25	254.61539

Summary statistics:

Column	n	Mean	Variance	Std. Dev.	Std. Err.	Median	Range	Min	Max	Q1	Q3
Days	130	4.8	0.951938	0.9756731	0.08557219	5	5	2	7	5	5

Summary statistics:

Column	n	Mean	Variance	Std. Dev.	Std. Err.	Median	Range	Min	Max	Q1	Q3
Commute	136	28.316177	601.7141	24.529861	2.1034184	20	120	0	120	10	35

Summary statistics:

Column	n	Mean	Variance	Std. Dev.	Std. Err.	Median	Range	Min	Max	Q1	Q3
20 oz Porterhouse	20	19.1	1.8842105	1.3726655	0.30693734	19.5	5	16	21	18	20

Summary statistics for GPA:
Group by: FavSport

FavSport	n	Mean	Variance	Std. Dev.	Std. Err.	Median	Range	Min	Max	Q1	Q3
Baseball	1	3.71	NaN	NaN	NaN	3.71	0	3.71	3.71	3.71	3.71
Basketball	8	2.66875	0.7292411	0.8539561	0.30191907	3	2.6	1	3.6	2.15	3.225
Football	5	2.94	0.133	0.36469164	0.16309506	2.9	0.9	2.5	3.4	2.7	3.2
Other	7	3.6571429	0.030657142	0.17509182	0.066178486	3.59	0.46	3.44	3.9	3.51	3.87
Soccer	3	3.0066667	0.76813334	0.8764322	0.5060083	3.42	1.6	2	3.6	2	3.6
Swimming	2	3.75	0.125	0.35355338	0.25	3.75	0.5	3.5	4	3.5	4
Volleyball	5	3.144	0.24263	0.49257487	0.22028618	3	1.31	2.5	3.81	3	3.41