![]() ![]()
This table displays descriptive statistics for each combination of
factors in the model.
There seems to be a Shopping style effect; on average, "biweekly" customers spend $368.14, while "weekly" customers spend
$410.48, and "often" customers spend $426.01.
There also appears to be a Gender
effect; on average, males in the sample spend $437.00 compared to $371.38 for females.
Lastly, there may be an
interaction effect between Gender and
Shopping style, because the mean differences
in amount spent by shopping style vary between genders.
For example, there
is a $70 difference in spending between "biweekly" and "weekly" male customers,
but only an $18 difference between "biweekly" and "weekly" female customers.
The N column in the table shows there are
unequal cell sizes. Most customers prefer to shop on a weekly basis.
The standard deviations
appear relatively homogenous, although you should check Levene's
test and the spread-versus-level plots to be sure.
|
|
Descriptive Statistics |