Example:  Reaction Time in a Computer Game vs Distance to move mouse
and Hand used.

Coding of hand:  right = 0  left = 1

Regression Analysis: time versus distance, hand, dist*hand

The regression equation is
time = 99.4 + 0.028 distance + 72.2 hand + 0.234 dist*hand

Predictor    Coef  SE Coef     T      P
Constant    99.36    25.25  3.93  0.000
distance   0.0283   0.1308  0.22  0.830
hand        72.18    35.71  2.02  0.051
dist*hand  0.2336   0.1850  1.26  0.215

S = 50.6067   R-Sq = 59.8%   R-Sq(adj) = 56.4%

Analysis of Variance
Source          DF      SS     MS      F      P
Regression       3  136948  45649  17.82  0.000
Residual Error  36   92198   2561
Total           39  229146

Source     DF  Seq SS
distance    1    6303
hand        1  126562
dist*hand   1    4083

Unusual Observations
Obs  distance    time     Fit  SE Fit  Residual  St Resid
25       163  315.00  214.29   11.38    100.71      2.04R
30       271  401.00  242.65   17.19    158.35      3.33R
31        40  320.00  182.09   20.68    137.91      2.99R
R denotes an observation with a large standardized residual.

Regression Analysis: time versus distance, hand

The regression equation is
time = 79.2 + 0.145 distance + 112 hand

Predictor     Coef  SE Coef     T      P
Constant     79.21    19.72  4.02  0.000
distance   0.14512  0.09324  1.56  0.128
hand        112.50    16.13  6.97  0.000

S = 51.0116   R-Sq = 58.0%   R-Sq(adj) = 55.7%

Analysis of Variance
Source          DF      SS     MS      F      P
Regression       2  132865  66433  25.53  0.000
Residual Error  37   96281   2602
Total           39  229146

Unusual Observations
Obs  distance    time     Fit  SE Fit  Residual  St Resid
25       163  315.00  215.39   11.44     99.61      2.00R
30       271  401.00  231.10   14.67    169.90      3.48R
31        40  320.00  197.55   16.80    122.45      2.54R
R denotes an observation with a large standardized residual.

Regression Analysis: time versus hand

The regression equation is
time = 104 + 112 hand

Predictor    Coef  SE Coef     T      P
Constant   104.25    11.62  8.97  0.000
hand       112.50    16.43  6.85  0.000

S = 51.9573   R-Sq = 55.2%   R-Sq(adj) = 54.1%

Analysis of Variance
Source          DF      SS      MS      F      P
Regression       1  126562  126562  46.88  0.000
Residual Error  38  102583    2700
Total           39  229146

Unusual Observations
Obs  hand    time     Fit  SE Fit  Residual  St Resid
30  1.00  401.00  216.75   11.62    184.25      3.64R
31  1.00  320.00  216.75   11.62    103.25      2.04R
32  1.00  113.00  216.75   11.62   -103.75     -2.05R
R denotes an observation with a large standardized residual.

One-way ANOVA: time versus hand

Source  DF      SS      MS      F      P
hand     1  126563  126563  46.88  0.000
Error   38  102584    2700
Total   39  229146

S = 51.96   R-Sq = 55.23%   R-Sq(adj) = 54.05%

Individual 95% CIs For Mean Based on
Pooled StDev
Level   N    Mean  StDev   +---------+---------+---------+---------
0      20  104.25   8.25   (-----*-----)
1      20  216.75  73.01                               (-----*-----)
+---------+---------+---------+---------
80       120       160       200
Pooled StDev = 51.96

Two-Sample T-Test and CI: time, hand

Two-sample T for time

hand   N    Mean  StDev  SE Mean
0     20  104.25   8.25      1.8
1     20   216.8   73.0       16

Difference = mu (0) - mu (1)
Estimate for difference:  -112.500
95% CI for difference:  (-146.889, -78.111)
T-Test of difference = 0 (vs not =): T-Value = -6.85  P-Value = 0.000  DF = 19