Multicolinearity
Two variables that have a correlation of greater than 0.70 or less than -0.70 in a regression model. The final result is the two variables explaining the same portion of variation where either variable would be suffi cient.
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multicolinearity: Multicolinearity - Sensible technical analysis means avoiding multicolinearity or the use of more than one indicator to count the same information.
Multicolinearity: The situation in which the independent variables used in a regression analysis are related to each other.
Colinear see Multicolinearity.
Combined Forecast The weighted average of two or more forecasts.
Commodity Futures Trading Commission (CFTC) A commission that oversees the commodity exchanges in the US.
A cardinal rule for the successful use of technical analysis requires avoiding multicolinearity amid indicators. Multicolinearity is simply the multiple counting of the same information.
 See also: Convergence, Average, Analysis, Rate, Volume
  
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