Decentralization of regulatory effects

1. 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

2.

If you can't sell it, you can only keep it by yourself. Let's wait for appreciation or take over. Of course, the probability of this happening is very small. If it happens, there may be the following possibilities:

1. China, the United States or the European Union suddenly announced the ban on bitcoin and its circulation

2. Bitcoin exposes fatal weaknesses and defects, which are difficult to overcome, especially security factors

3. Bitcoin has not been used as a killer for a long time, and its application scenarios are strictly limited, so people graally lose information about bitcoin

4. The emergence of a better alternative to bitcoin or the global joint issue of a virtual currency has won global recognition

3. Cloudleopard network, technology can be trusted

4. Unreliable. Don't invest in this kind of platform on the Internet. It's very boring.

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6. Mediating effect is not needed, but moderating effect is needed.

7. The mediating and moderating effects can be realized by hierarchical regression in SPSS, that is, in which dialog box of multiple linear regression analysis, there is a
Block dialog box, you can move the independent variables and moderating variables to which dialog box one by one, and the regression results will show the changes of moderating effects

8. Regulatory variables can be qualitative or quantitative. In the analysis of regulatory effect, the independent variable and regulatory variable should be transformed centrally. Brief model: y = ax + BM + CXM + E. The relationship between Y and X is characterized by regression coefficient a + cm, which is a linear function of M. C measures the magnitude of the moderating effect