AI Driven Linear Regression Modeling with SPSS: From Theory to Practice
Unlock the power of linear regression modeling with SPSS in our comprehensive course. Learn to interpret attributes, analyze stock returns, and predict outcomes. Gain hands-on experience with practical examples and practice files. Master linear regression techniques for insightful data analysis.
Offer ends in:
What you'll get
- 3+ Hours
- 1 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- The fundamentals of linear regression modeling and its application in data analysis.
- How to interpret attributes and understand their significance in regression analysis.
- Techniques for analyzing stock returns and predicting financial outcomes.
- Practical skills in building regression equations and interpreting regression results.
- Methods for creating attributes for variables and conducting attribute analysis.
- Hands-on experience with SPSS software for implementing linear regression models.
- Strategies for assessing and interpreting T-values and scatter plots in regression analysis.
- Application of linear regression modeling to real-world scenarios such as energy consumption and debt assessment.
- Utilization of practice files and exercises to reinforce learning and enhance proficiency.
- Mastery of linear regression techniques for making informed decisions and deriving actionable insights from data.
- The course works across multiple software packages such as SPSS, MS Office, PDF writers, and Paint.
- The core objective of this course is to provide skills in understand the regression model and interpreting it for predictions
- The associated parameters of the regression model will be interpreted and tested for significance and test the goodness of fit of the given regression model
- Interpretation of regression attributes such as R-Squared (correlation coefficient), t and p values
Content
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MODULE 1: Essentials Training
Courses No. of Hours Certificates Details Linear Regression & Supervised Learning with SPSS 3h 07m ✔
Description
Predictive modelling course aims to provide and enhance predictive modelling skills across business sectors/domains. Quantitative methods and predictive modelling concepts could be extensively used in understanding the current customer behavior, financial markets movements, and studying tests and effects in medicine and in pharma sectors after drugs are administered. The course picks theoretical and practical datasets for predictive analysis. Implementations are done using SPSS software. Observations, interpretations, predictions and conclusions are explained then and there on the examples as we proceed through the training. The course also emphasizes on the higher order regression models such as quadratic and polynomial regressions which aren’t covered in other online coursescel
Introduction to Linear Regression Modeling Using SPSS
This course provides a comprehensive introduction to linear regression modeling using SPSS. Participants will learn the fundamentals of linear regression analysis and how to apply these techniques using SPSS software.
Interpretation of Attributes
Participants will delve into the interpretation of attributes in the context of linear regression modeling. Topics covered include understanding stock returns, T-values, scatter plots, and creating attributes for variables.
Linear Regression Examples
Through practical examples such as analyzing stock returns, copper expansion, energy consumption, and debt assessment, participants will gain hands-on experience in applying linear regression techniques to real-world datasets.
Regression Equation and Interpretation
Participants will learn to build regression equations and interpret the results. They will explore how to analyze and interpret the relationships between variables, enabling them to derive meaningful insights from their data.
Target Audience
- Prior knowledge of Quantitative Methods, MS Office and Paint is desired.
Course Ratings
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This course is great if you're looking to freshen up your skills with some practical modeling in applications beyond the limitations of an average spreadsheet. The content is sufficiently generalized to be of use to a broad scope of people requiring some SPSS knowledge for practical application. The educator's presentation was professional and easy to follow. Would recommend.
Evan J. Halbach