## How to work with a moderating variable in the regression test with SPSS?

Influencing or control variables are said to be a moderating variable and the effect of these interactions is represented as an interaction effect

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## How to perform T-Test statistics in SPSS?

T-Test statistics, which is also known as student’s T-Test, was first developed by William Sealy Gosset in the year 1908.

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## How to interpret the results of the linear regression test in SPSS?

The test found the presence of correlation, with most significant independent variables being education and promotion of illegal activities. Now, the next step is to perform a regression test.

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## How to use K-Nearest Neighbor (KNN) algorithm on a dataset?

K- Nearest Neighbor, popular as K-Nearest Neighbor (KNN), is an algorithm that helps to assess the properties of a new variable with the help of the properties of existing variables. KNN is applicable in classification as well as regression predictive problems.

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## Interpreting multivariate analysis with more than one dependent variable

In continuation to my previous article, the results of multivariate analysis with more than one dependent variable have been discussed in this article.

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## Multivariate analysis with more than on one dependent variable

The normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.

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## Correlation of variables in SPSS

It measures the correlations between two or more numeric variables. There are two types of correlations; bivariate and partial correlations. While Bivariate Correlations are computed using Pearson/Spearman Correlation Coefficient wherein it gives the measure of correlations between variables or rank orders.

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## Two independent samples t-test

The independent two-sample t-test is used to test whether population means are significantly different from each other, using the means from randomly drawn samples.

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