Hi all,
I am struggling to explain two of the variables in my regression (WeightedGT and TempDev), as they both include a squared term. The coefficient for both linear terms are negative while the squared terms are positive. How do I interpret this? Is it correct to say that the negative effect the variable has on Y will strengthen when the turning point is reached?
The WeightedGT variable measures the level of Google search activity for the company.
The TempDev is a variable of temperature deviation (how much temperature deviates from a 5 year average), hence it includes both positive and negative values. How is a variable that includes both negative and positive values interpreted in the coefficients?
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I have also used marginsplot to graph their relationship, see below:
WeightedGT:
The turning point for WeightedGT was calculated at: -51,249.
Temperature deviation:
The turning point for TempDev was calculated at: -0,974.
Please excuse me if this question is rather basic, I am new to regression analysis in general.
Thank you!
0 Response to Interpretation: coefficient for linear is negative while coefficient for squared term is positive
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