I use a regression as my predictor. Let's say my regression is

(y=a1 x1 + a2 x2 + a3 x3)

[TEX]y=a_1 x_1+a_2 x_2+a_3 x_3[/TEX]

I realized that in practise, when my prediction is way off, it's usually because one factor significantly skewed the prediction. For example, x1,x2 are both slightly negative, while x3 is very positive.

In this case (when factors "disagree" with each other), I would rather my predictor not do anything, than reporting a "controversal" prediction.

What is the best way of identifying if the factors "disagree"?

Thanks!

By the way, how do I post formulas properly on this forum?

(y=a1 x1 + a2 x2 + a3 x3)

[TEX]y=a_1 x_1+a_2 x_2+a_3 x_3[/TEX]

I realized that in practise, when my prediction is way off, it's usually because one factor significantly skewed the prediction. For example, x1,x2 are both slightly negative, while x3 is very positive.

In this case (when factors "disagree" with each other), I would rather my predictor not do anything, than reporting a "controversal" prediction.

What is the best way of identifying if the factors "disagree"?

Thanks!

By the way, how do I post formulas properly on this forum?

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