Plotting Quadratic Effects of Regression Using STATA - Visualizing Regression Model

Adding a #squared variable in the #regression helps to estimate the #quadratic, #curvilinear, #nonlinear or variable effects model. The added advantage is that it increases the #efficiency of the model and reduces #miss-specification.
But interpreting the quadratic function is tricky, it requires #visualization based on the #mean and #standard-deviation of the variable in the quadratic function.
This video helps in #plotting #marginal #effects of a variable which is in quadratic form in the regression analysis, thus helping in visualization and interpretation of the #U-shaped or #inverted-U-shaped effects.

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"Plotting Quadratic Effects of Regression Using STATA - Visualizing Regression Model"

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