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Do you normalize dependent variable?
1 Answer. Without seeing your data (especially the residuals of the final regression model) and further context, it is hard to provide you with a definitive answer. However, when talking about regression in general, your dependent variable does not have to be normally distributed.
Does the dependent variable respond to the independent variable?
The dependent variable responds to the independent variable. It is called dependent because it “depends” on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans.
Do we normalize target variable?
Yes, you do need to scale the target variable. I will quote this reference: A target variable with a large spread of values, in turn, may result in large error gradient values causing weight values to change dramatically, making the learning process unstable.
Should I normalize the response variable?
Normalizing the data is not required, but it can be helpful in the interpretation of the data. I mean, using normal quantile transformation so that the response variable if Normal(0,1). It may be useful to calculate means and standard deviations (of continuous variables), but do not stop there.
Which is dependent variable?
Answer: Just like an independent variable, a dependent variable is exactly what it sounds like. It is something that depends on other factors. (Independent variable) causes a change in (Dependent Variable) and it isn’t possible that (Dependent Variable) could cause a change in (Independent Variable).
Can you have a dependent variable without an independent variable?
In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans. Your independent variable would be the stress and the dependent variable would be the heart rate.
Do you have to have a normally distributed dependent variable?
However, when talking about regression in general, your dependent variable does not have to be normally distributed. The model’s residuals on the other hand, do have to be normally distributed.
Can you control more than one independent variable?
You can directly manipulate stress levels in your human subjects and measure how those stress levels change heart rate. It is possible to have experiments in which you have multiple variables. There may be more than one dependent variable and/or independent variable.