Chapter 4
Minitab Recipe Cards
Correlation coefficients
• Enter the data from
Example 4.1 in
columns C1 and C2
of the worksheet.
• Select Basic
Statistics from the
Stat menu and
Correlation from the
sub-menu.
• then give the column
locations of both sets
of observations in the
command window.
• Click OK.
• Enter C1 and C2 in
the command
window.
• Click OK.
• The correlation
coefficient appears in
the session window.
Simple linear regression
• Put the data from
Example 4.1 in two
columns of the
worksheet.
• Select Regression
from the Stat menu
then Regression
from the Regression
sub-menu.
• Type C2 beside
Response and C1
beside Predictor.
• Click OK and the
output that appears
has the regression
equation, the
equation of the line of
best fit, at the top.
• If you want a scatter
diagram with the line
of best-fit
superimposed on the
scatter like Figure
4.11 follow the Stat –
Regression
sequence but choose
Fitted Line Plot from
the Regression submenu.
• Type C2 beside
Response (Y) and
C1 beside Predictor
(X).
• Click OK.
• The diagram that
appears includes the
regression equation
and the value of R2
for the data.
Time series decomposition
• Put the data from
Example 4.12 into C1
in chronological order.
• Select Time Series
from the Stat menu
then Decomposition
from the sub-menu.
• Type C1 to the right of
Variable, type 3 as
the Seasonal length
and select the
Additive model under
Model Type.
• Click OK.
• The output generated
includes three graphs,
the third of which is a
plot of the series with
the trend estimates.