X3 is significant, and other variables have no influence. From column Z, P> can see three proportions less than 0. 1.050.0 1, that is, confidence intervals are 90%, 95% and 99%. The values of column Z are seen together with the fourth column, only the fourth column is seen. The first column is called coefficient, the second column is called standard deviation, and the first column is the most important. That is to say, the more X3 (for example, to explore whether milk tea is good or not, X3 means that the temperature score is 12345, and this result shows that the higher the temperature of X3 is, the better. This is only a personal hypothesis, and it should be in line with theoretical analysis here), every increase of 1X3 will bring a positive impact of 0.32 1, and the log can't be positive. Yours is.