Excel remains a popular tool to conduct basic regression analysis in finance, however, there are many more advanced statistical tools that can be used. Python and R are both powerful coding languages that have become popular for all types of financial modeling, including regression. These techniques...
Exactly how large a VIF has to be before it causes issues is a subject of debate. What is known is that the more your VIF increases, the less reliable your regression results are going to be. In general, a VIF above 10 indicates high correlation and is cause for concern. Some authors ...
Python Boxplot – How to create and interpret boxplots (also find outliers and summarize distributions) Apr 16, 2020 01-What is Machine Learning Model 02-Data in ML (Garbage in Garbage Out) 03-Types of ML problems 04-Types of ML Problems Part 2 05-Types of ML Problems Part-3 06-Sa...
This makes it very easier to interpret. # Load the extension for visualizer. %load_ext snakeviz %snakeviz regression() cProfile Visualization – Snakeviz ( Sunburst) cProfile Visualization – Snakeviz ( Icicle) Note that you may not be able to get the visualizations properly in google colab....
This "quick start" guide shows you how to carry out a moderator analysis with a dichotomous moderator variable using SPSS Statistics, as well as interpret and report the results from this test. However, before we introduce you to this procedure, you need to understand the different assumptions ...
Use theBinary (Logistic)option if the dependent variable can take on one of two possible values such as success and failure or presence and absence. The field containing the dependent variable must be numeric and contain only ones and zeros. Results will be easier to interpret if ...
To empirically assess the research model, survey data were gathered from 425 employees. Some of the proposed hypotheses were supported. The results demonstrate that work-related social media usage can promote employee creativity through influence knowledge sharing and knowledge manipulation. However, ...
Figure 4. The significance of predictors in MODEL3. When the relationship between subjective satisfaction and its predictors is examined, it is also appropriate to interpret and explain the calculated coefficients rather than to only quantify them. Since the fuller model was created, a brief interp...
In this post, we will first explain when a logistic regression is more appropriate than a linear regression. We will then show how to perform a binary logistic regression in R, and how to interpret and report results. We will also present some plots in order to visualize results. Finally,...
My results from OLS model show: Variables x1 and x3 have been manually removed from the model as the VIF was greater than 5 (this also clears the condition number warning) Coefficient values for the remaining variables are close to the Lasso regression values Model gives a lower R2 sc...