![]() ![]() ![]() Run a simple linear regression of chicken consumption on chicken consumption lagged one time period. The stronger your correlation (that is, the closer r is to -1 or 1), the more accurate your prediction will be. Then, if we plug an x into the equation, we can predict what our y value will be.
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