What is the classification of correlation in SPSS, urgent

SPSSAU provides three correlation coefficients.

If it is presented with distinctiveness.

There is an * sign in the upper right corner of the result, which means that there is a relationship; It doesn't matter if you don't do the opposite); After having a relationship, the closeness of the relationship can be directly determined by the size of the correlation coefficient. Generally, the above descriptions are very closely related; There is a close relationship between the descriptions; Illustrate the relationship in general.

Correlation analysis, generally speaking, the dependence of socio-economic phenomena is simply divided into two types, the first is the functional relationship, and the second is the correlation relationship. Correlation analysis was performed by statistician KPearson created.

Correlation analysis is the analysis of two or more variable elements that are correlated, so as to measure the degree of correlation between the two variable factors.

Correlation analysis can only be performed if there is a certain connection or probability between the elements of the correlation. Correlation is not the same as causality, nor is it simply personalization, the scope and field of correlation covers almost everything we see.

It can be assumed that there is a moderate correlation between the two variables; , it can be assumed that there is a low correlation between the two variables.|r|Indicates that there is a weak correlation between variables.

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1. First of all, we open the SPSS software in the computer and open the sorted data file.

2. Select the "Analysis" option at the top of the panel, click "Related", then three options will pop up, if you only need to analyze the relationship between two variables.

"Bivariate" is selected, and "Partial Correlation" is selected for multi-variable cross-analysis, and the method of "bivariate" denier analysis is demonstrated here.

3. After entering the page, convert the two variables to be analyzed into the variable box on the right, and click OK.

4. The results obtained after determination are significantly correlated.

5. If you need pairwise correlation analysis data for all variables, transfer all variables to the variable box and click OK.

6. In this way, it can be concluded whether the correlation between all variables is significant.

How do you analyze whether there is a correlation between two variables?

Correlation analysis is used to study the relationship between quantitative data, including whether there is a relationship and how closely the relationship is. For example, study the relationship between employee salary and employee seniority; The relationship between product sales and product after-sales service.

spssau operation:

SPSSAU Results Analysis:

From the above table, it can be seen that the correlation analysis is used to study the correlation between four items: corporate satisfaction, interpersonal relationship, opportunity perception, turnover propensity, and working conditions, and the Pearson correlation coefficient is used to express the strength of the correlation.

The above table shows the mean standard deviation and correlation coefficient of each variable, for example, the mean of company satisfaction is, the standard deviation is, the mean of interpersonal relationships is, the standard deviation is, the mean of opportunity perception and the standard deviation is, and so on.

1. The first step is to install the SPSS software package on the computer, and it is best to use the latest version, which has complete functions. Open the SPSS software and import the data you need to analyze, here the Excel data is used as an example. Click [File] - [Open] - [Data] in order.

2. In the second step, select the excel data, confirm the import, and check whether the data is imported normally.

3. The third step is to conduct correlation analysis. Click [Analysis] - [Related] - [Bivariate] in that order.

4. Step 4, then, select the variable from the left side to the right variable box, check the person related, two-sided test, etc.

5. In the fifth step, the point is confirmed, and the result of the relevance is in the output document. You can also copy and export the results to Word or Excel.

This completes the analysis of the correlation between the two sets of data with SPSS.

First of all, look at the significance value, that is, the SIG value or P value, it is to judge the r value, that is, whether the correlation coefficient is statistically significant, the judgment standard is generally, as can be seen from the table, the correlation coefficient between the two variables r = , and its p value is", so the correlation coefficient is not statistically significant.

Regardless of the size of the r-value, it indicates that there is no correlation between the two, and if the p-value is <, then Xiaoyou guess that there is a correlation between the two.

Then look at the r-value, |r|The higher the value, the better the correlation, with a positive number indicating a positive correlation and a negative number touching indicating a negative correlation.

The absolute value of the correlation coefficient is generally between 0 and 1, negative numbers represent negative correlations, positive numbers represent positive correlations, and the closer to 0 represents the lower the degree of correlation; The closer it is to 1 or -1, the lower the correlation. In the SPSS software, the lead spike is generally the lead spike that calculates the correlation coefficient and gives the p-value of the correlation coefficient. The correlation coefficient is that the closer it is to 1 or -1, it is correlated.

In the case of p-value, the smaller the p-value, which is generally less than or less than the required strict point, it indicates that the correlation between the variables is significant, that is, there is a significant correlation between the two variables.

SPSS correlation analysis operation steps, 1, open the SPSS software, select factors and correlation in the analysis menu, or select correlation in the data menu, 2, click relevance, select the variable to be studied in the pop-up dialog box, click the OK button, 3, click the finish button, you can click the finish multiple times to add variables, 4, click the calculation button on the right side, start the calculation, 5, click the OK button, get the operation result, 6, in the entity output window, display the result, 7, In another output window, you can view more details, including factor correlation coefficients in the analysis, etc.

Correlation analysis is a type of statistical analysis, and its main function is to test the relationship between two variables, which can be two numerical variables, a numerical variable and a subtype variable.

Through the calculation of the data, the correlation prudence coefficient can be obtained, so as to determine whether there is a positive correlation, negative correlation or no correlation between the two variables.

In SPSS, in order to perform correlation analysis more easily and quickly, it provides a wealth of power and disadvantages.

The relationship between multiple variables can be tested by trying non-stupid analysis models, such as multiple linear regression analysis, stepwise regression analysis, etc., so as to draw effective conclusions.

At the same time, there are many other analysis tools in SPSS, such as multivariate statistical analysis, centralized trend analysis, etc., which can help to identify and analyze the relationship between variables more comprehensively and accurately.