So, as we look at Linear Regression and correlation this week, please find provide an example of how and when linear regression is used.
We use linear regression or correlation when we want to know whether one measurement variable is associated with another measurement variable; we can measure the strength of the association (r2); we can also use regression to form an equation that describes the relationship which can be used to predict unknown values.
Example:
Linear regressions can be used in business to evaluate trends and make estimates or forecasts.
It can be used to forecast the demand of a commodity say cereals to be ordered for next month by a supermarket using the past data.
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