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Ask SPSS for guidance! Paper solution ~
The last one is correlation analysis, which mainly shows that the correlation coefficient is P value and good sig value.

The estimated value of correlation coefficient is -3.44, with two asterisks, indicating that the significance test of 0.0 1 level has been passed, indicating that the correlation coefficient is significantly different from 0. Generally speaking, there is a significant correlation between these two variables. A negative number indicates a negative correlation.

The second part is the result of regression analysis, mainly looking at regression coefficient and r square.

R squared is 0.344, and the goodness of fit is not high, that is, the independent variable only explains 34.4% of the change of the dependent variable. It shows that the model ignores the main influencing factors.

The estimated regression coefficient is -0.268, indicating that the independent variable increases by one unit on average and the dependent variable decreases by 0.268 unit on average.

I hope it can help you, statistician Liu Deyi.