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Mean Absolute Deviation
To avoid the problem of positive and negative deviations canceling out each other, we can use the Mean Absolute Deviation which is given by
Although Mean Absolute Deviation avoids the problem of positive and negative deviations canceling out, it is not popular in practice. This is because it neglects the difference between positive and negative deviations although the positive and negative signs are considered in calculating the mean which in turn is used to calculate the deviations. Further, it is difficult to deal with the quantity algebraically.
Type of Variable in Regression Analysis There are two types of variable in regression analysis. These are: a. Dependent variable b. Independent variable
characteristic of latin square design
Differentiate between prediction, projection and forecasting.
X 110 120 130 120 140 135 155 160 165 155 Y 12 18 20 15 25 30 35 20 25 10
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