What kind of apple harvest is good? --Regression analysis to help you find the answer

As the saying goes, every day an apple, the doctor away from me ~ Thanks to the peasant uncle's hard work, let us all four seasons can eat apples. So how can apple trees grow more fruit?

How do you know whether these two factors have an effect on the number of apple trees as a result of the number of results that are known to each apple tree and the average daily sunshine time and watering times during their planting? Regression analysis can be used at this point.

Correlation analysis describes whether there is a relationship between the analytical items, and regression analysis studies the relationship situation. Regression analysis is essentially a study of the relationship of X to Y.

Open the online SPSS analysis software Spssau, after importing the data, select "Regression" in the left sidebar.

Put "number of results" into the X box, "Sunshine Time", "watering times" into the Y box, click "Start regression Analysis", Spssau can output the results table with one click.

The following result table is obtained after analysis.

For the Analysis results table, the Spssau system will automatically output analysis recommendations, according to the suggestions we can read the meaning of the results table, self-analysis ~

Further using the big data and artificial intelligence principles, Spssau system also automatically output intelligent analysis, we directly look at these words can understand the results ~ The original watering times on the number of Apple results have no significant impact, and the sunshine time will have a significant positive impact on the number of results. No wonder the Highland apple tree results in high rates!

Theory

Correlation analysis describes whether there is a relationship between the analytical items, regression analysis (linear regression analysis) to study the relationship situation, regression analysis is essentially the study of X (independent variables, usually quantitative data) on Y (dependent variables, quantitative data) of the relationship between the situation, there is no correlation relationship may not have regression impact relationship.

The analysis step is four steps:

1. First analyze the model situation. Including model fit conditions (such as R-Squared is 0.3, then all X can explain the reason for the change of Y 30%), the model collinearity problem (VIF value less than 5 indicates no multiple collinearity), whether the F-test is used to determine if at least one X has an effect on Y, and if it is significant, Indicates that at least one of all X will have an impact on Y.

2. Analyze the significance of X. If it is significant (P-value judgment), then it has an influence relationship, and the other has no effect on the relationship.

3. Determine the direction of the relationship between X and Y. A regression coefficient B value greater than 0 indicates a positive effect, whereas a negative effect.

4. Other. For example, the degree of contrast effect (B value of regression coefficient vs. X to Y)

Is this method of analysis convenient? "Regression analysis" in the academic papers, research reports, the specific application of the rich, in sociology, economics, biology and other disciplines have been applied.

TIPS1: In regression analysis, the effects of x on Y are studied, and the x here is usually quantitative data, rather than a definite class of data. If X is a class of data, there are two methods of processing: 1 as a control variable, that is, put into the model, but do not analyze it; 2 If you must analyze its effect on Y, you should set the virtual variable (also called dummy variable) and then put it.

TIPS2: Generally speaking, it is necessary to use correlation analysis to analyze the relationship before regression, so it is more scientific to make regression analysis first.

In addition to the regression analysis mentioned above, Spssau provides users with analysis methods including reliability analysis, validity analysis, variance analysis, chi-square analysis and T-Test, multi-choice cross-analysis and so on.

Want to learn more about Spssau more powerful features?

Open the computer and enter spssau.com try it!

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What kind of apple harvest is good? --Regression analysis to help you find the answer