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Regression analysis examines associative relationships between a
metric dependent variable and one or more independent variables
in the following ways:
• Determine whether the independent variables explain a significant
variation in the dependent variable: whether a relationship exists.
• Determine how much of the variation in the dependent variable can
be explained by the independent variables: strength of the
relationship.
The applications areas are in ‘explaining’ variations in sales of a
product based on advertising expenses, or number of sales people,
or number of sales offices, or on all the above variables.
• Determine the structure or form of the relationship: the
mathematical equation relating the independent and dependent
variables.
• Predict the values of the dependent variable.
Regression analysis examines associative relationships between a
metric dependent variable and one or more independent variables
in the following ways:
• Determine whether the independent variables explain a significant
variation in the dependent variable: whether a relationship exists.
• Determine how much of the variation in the dependent variable can
be explained by the independent variables: strength of the
relationship.
The applications areas are in ‘explaining’ variations in sales of a
product based on advertising expenses, or number of sales people,
or number of sales offices, or on all the above variables.
• Determine the structure or form of the relationship: the
mathematical equation relating the independent and dependent
variables.
• Predict the values of the dependent variable.
