Generally in statistics we use prediction intervals regression statistics.
Let's consider the equation, (Based on sample data of students salary and education from a college class)
Salary = 9500 + 10*Education
Here the slope is Education
Here, we construct prediction intervals for Salary which gives us say an approximate 95% range for the Salary based on the data.
Benefits of using this over confidence intervals or regression statistics is that it gives us a possible range between which the salary lies. From regression we can just find single points based on the dataset.
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