Decentralization of independent variables

1. According to Hou Jietai: the so-called centralization refers to subtracting the mean value of a variable from its expected value. For sample data, each observation value of a variable is subtracted from the sample average value of the variable, and the transformed variable is centralized
for your question, subtract the mean from each measurement.

2. Centralization is to subtract the mean and Z-score is to divide it by the standard deviation. Both of them are centralization methods.

3. Not necessarily, centralization is only for the convenience of explanation, and does not affect the regression coefficients Central treatment of regulatory effect of South Heart Network

4. The more troublesome
needs to understand the theory

5. 1. If x is a real 0 and 1 variable, such as gender, treat it as continuous. 4 m # @ + s # N8] 4 E 2. If x is an artificial 0 and 1 variable, such as above average vs. below average, then there is a problem. Because the artificial dichotomy can use any artificial standard. Different methods will seriously affect the results.

6. Regulatory variables can be qualitative or quantitative. In the analysis of regulatory effect, the independent variable and regulatory variable should be transformed centrally. briefly

7. It is the proct of the standardized values of two independent variables, namely Z-score.