Data
GPA | Hours Worked | GPA | Hours Worked |
3 | 0 | 3 | 0 |
3.5 | 17 | 3.5 | 17 |
2.9 | 18 | 2.9 | 18 |
3.2 | 15 | 3.2 | 15 |
2.4 | 26 | 2.4 | 26 |
4 | 0 | 4 | 0 |
3.6 | 0 | 3.6 | 0 |
3.8 | 0 | 3.8 | 0 |
2.5 | 30 | 2.5 | 30 |
1.7 | 30 | 1.7 | 30 |
4.2 | 0 | 4.2 | 0 |
3 | 0 | 3 | 0 |
3.6 | 20 | 3.6 | 20 |
2.5 | 0 | 2.5 | 0 |
3.3 | 0 | 3.3 | 0 |
2.5 | 0 | 2.5 | 0 |
2.967 | 0 | 2.967 | 0 |
3.4 | 20 | 3.4 | 20 |
2.7 | 0 | 2.7 | 0 |
3.33 | 0 | 3.33 | 0 |
3 | 20 | 3 | 20 |
Regression Analysis: GPA versus HOURS WORKED
The regression equation is
GPA = 3.12 - 0.00428 HOURS WORKED
GPA = 3.12 - 0.00428 HOURS WORKED
Predictor Coef SE Coef T P
Constant 3.1223 0.1231 25.37 0.000
HOURS WORKED -0.004275 0.008895 -0.48 0.633
Constant 3.1223 0.1231 25.37 0.000
HOURS WORKED -0.004275 0.008895 -0.48 0.633
S = 0.622886 R-Sq = 0.6% R-Sq(adj) = 0.0%
Analysis of Variance
Source DF SS MS F P
Regression 1 0.0896 0.0896 0.23 0.633
Residual Error 40 15.5195 0.3880
Total 41 15.6091
Regression 1 0.0896 0.0896 0.23 0.633
Residual Error 40 15.5195 0.3880
Total 41 15.6091
Unusual Observations
HOURS
Obs WORKED GPA Fit SE Fit Residual St Resid
10 30.0 1.7000 2.9940 0.2129 -1.2940 -2.21R
22 35.0 2.9000 2.9726 0.2534 -0.0726 -0.13 X
34 0.0 1.5000 3.1223 0.1231 -1.6223 -2.66R
Obs WORKED GPA Fit SE Fit Residual St Resid
10 30.0 1.7000 2.9940 0.2129 -1.2940 -2.21R
22 35.0 2.9000 2.9726 0.2534 -0.0726 -0.13 X
34 0.0 1.5000 3.1223 0.1231 -1.6223 -2.66R
R denotes an observation with a large standardized residual.
X denotes an observation whose X value gives it large leverage.
X denotes an observation whose X value gives it large leverage.
Descriptive Statistics: GPA, HOURS WORKED
Variable N N* Mean SE Mean StDev Minimum Q1 Median Q3
GPA 42 0 3.0853 0.0952 0.6170 1.5000 2.6500 3.2500 3.5000
HOURS WORKED 42 0 8.64 1.69 10.94 0.00 0.00 0.00 18.00
GPA 42 0 3.0853 0.0952 0.6170 1.5000 2.6500 3.2500 3.5000
HOURS WORKED 42 0 8.64 1.69 10.94 0.00 0.00 0.00 18.00
Variable Maximum
GPA 4.2000
HOURS WORKED 35.00
GPA 4.2000
HOURS WORKED 35.00