Regression in Minitab
Stat >> Regression >> Fitted Line Plot ...
By default, after you specify the predictor and response, this
command produces a plot which comes up in a new window and contains:
 a plot of the estimated regression equation on a scatter plot of the
original data
 the estimated intercept (b0) and estimated slope (b1)
 S = the square root of the mean square error
 Rsq = estimated Rsquare
 Rsq(adj) = estimated adjusted Rsquare
By default, it also produces the following in the session window:
 the estimated regression equation with estimated intercept (b0) and
estimated slope (b1)
 S = the square root of the mean square error
 Rsq = estimated Rsquare
 Rsq(adj) = estimated adjusted Rsquare
 Analysis of variance table for assessing whether there is a significant
linear association
 if they exist, an indication of any data points that yield extreme
residuals or that have undue influence on the estimated regression line
You can ask Minitab to do other things, too, within the command:
 On the main popup window, you can specifiy the type of regression
model. Choices include: linear, quadratic, cubic. Default is linear.
 Under Options ..., you can ask Minitab to not analyze the X data,
but rather to analyze the log10 of the X data. To do so click on the
logten of X box.
 Under Options ..., you can ask Minitab to not analyze the Y data,
but rather to analyze the log10 of the Y data. To do so click on the
logten of Y box.
 Under Options ..., you can ask Minitab to display confidence bands
on the fitted line plot. To do so, click on the display confidence
bands box, and specify the desired confidence level in the confidence
level box (default is 95.0%).
 Under Options ..., you can ask Minitab to display prediction bands
on the fitted line plot. To do so, click on the display prediction
bands box, and specify the desired prediction level in the confidence
level box (default is 95.0%).
 Under Options ..., you can ask Minitab to put a title on your fitted
line plot. Type the desired title in the title box.
 Under Storage ..., you can ask Minitab to store the estimated residuals
(RESI), the estimated (fitted) y values (FITS), and the estimated coefficients
(COEF) in the data worksheet. To do so, click on the Residuals
box, the Fits box, and the Coefficients box, respectively.
Stat >> Regression >> Regression ...
By default, after you specify the predictor(s) and response, this
command produces the following in the session window:
 the estimated regression equation
 the estimated intercept (b0) in the row labeled Constant and column
labeled Coef
 the estimated slopes (b1, b2, ...) in the rows labeled by the X variable
names and column labeled Coef
 the standard deviation of the estimated intercept, s(b0), in the row
labeled Constant and the column labeled SE Coef
 the standard deviation of the estimated slopes, s(b1), s(b1), ...,
in the rows labeled by the X variable names and the column labeled SE
Coef
 the tstatistic and Pvalue for testing H0: Beta0 = 0 in the row labeled
Constant and columns labeled T and P, respectively
 the tstatistic and Pvalue for testing H0: Beta1 = 0, H0: Beta2 =
0, ..., in the rows labeled by the X variable names and the columns
labeled T and P, respectively
 S = the square root of the mean square error
 Rsq = estimated Rsquare
 Rsq(adj) = estimated adjusted Rsquare
 Analysis of variance table for assessing whether there is a significant
linear association
You can ask Minitab to do other things, too, within the command:
 Under Options ..., you can ask Minitab to predict the mean response
for a given X and to get confidence intervals for the prediction.
To do so, specify the X value for which you want the prediction in the
box labeled Prediction intervals for new observations. Then,
specify the desired confidence level you want in the box labeled Confidence
level. The results are displayed in the session window. The confidence
interval is labeled XX% CI.
 Under Options ..., you can ask Minitab to predict the response
for a new individual for a given X and to get prediction intervals
for the prediction. To do so, specify the X value for which you want
the prediction in the box labeled Prediction intervals for new observations.
Then, specify the desired confidence level you want in the box labeled
Confidence level. The results are displayed in the session window.
The prediction interval is labeled XX% PI.
Miscellaneous tools
 To calculate statistics (such as sum and mean) on a column in your
data work sheet, select Calc >> Column statistics.... Click
on the statistics you want calculated. Click on the box labeled Input
variable. Then select the variable (column) you want analyzed. Select
OK. The results are displayed in the session window.
