Regression Analysis Training Overview

Regression Analysis Training Course Outline

Module 1: Introduction

  • What is Regression Analysis?
  • Publicly Available Data Sets
  • Selected Application of Regression Analysis
  • Step in Regression Analysis

Module 2: Simple Linear Regression

  • Introduction
  • Covariance and Correlation Coefficient
  • Simple Linear Regression Model
  • Parameter Estimation
  • Test of Hypotheses
  • Confidence Intervals
  • Predictions
  • Measuring the Quality of Fit
  • Regression Line Through the Origin
  • Trivial Regression Models

Module 3: Multiple Linear Regression

  • Introduction
  • Description of the Data and Model
  • Parameter Estimation
  • Interpretations of Regression Coefficients
  • Centring and Scaling
  • Properties of the Least Squares Estimators
  • Multiple Correlation Coefficient
  • Inference for Individual Regression Coefficient
  • Test of Hypotheses in a Linear Model
  • Predictions

Module 4: Regression Diagnostics: Detection of Model Violations

  • Standard Regression Assumptions
  • Various Types of Residuals
  • Graphical Methods
  • Graphs Before Fitting a Model
  • Graphs After Fitting a Model
  • Checking Linearity and Normality Assumptions
  • Leverage, Influence, and Outliers
  • Measures of Influence
  • Potential-Residual Plot
  • What to do with the Outliers?
  • Role of Variables in a Regression Equation
  • Effects of an Additional Predictor

Module 5: Qualitative Variables as Predictors

  • Introduction
  • Salary Survey Data
  • Interaction Variables
  • System of Regression Equations
  • Other Application of Indicator Variables
  • Seasonality

Module 6: Transformation of Variables

  • Introduction
  • Transformations to Achieve Linearity
  • Bacteria Deaths Due to X-Ray Radiation
  • Transformations to Stabilise Variance
  • Detection of Heteroscedastic Errors
  • Removal of Heteroscedasticity
  • Weighted Least Squares
  • Logarithmic Transformation of Data
  • Power Transformation

Module 7: Problem of Correlated Errors

  • Introduction: Autocorrelation
  • Consumer Expenditure and Money Stock
  • Durbin-Watson Statistic
  • Removal of Autocorrelation by Transform
  • Iterative Estimation with Autocorrelated Errors
  • Autocorrelation and Missing Variables
  • Analysis of Housing Starts
  • Limitations of the Durbin-Watson Statistic
  • Indicator Variables to Remove Seasonal

Module 8: Working with Collinear Data

  • Principal Components
  • Computations Using Principal Components
  • Imposing Constraints
  • Searching for Linear Functions
  • Biased Estimation of Regression Coefficients
  • Principal Components Regression
  • Reduction of Collinearity in the Estimation Data
  • Constraints on the Regression Coefficients
  • Principal Components Regression: A Caution
  • Ridge Regression
  • Estimation by the Ridge Method
  • Ridge Regression: Some Remarks

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Who should attend this Regression Analysis Training Course?

The Regression Analysis Training Course in the United States aims to provide professionals with a comprehensive understanding of regression techniques and their application in various domains. This course can help various professionals, including:

  • Data Scientists
  • Data Analysts
  • Statisticians
  • Market Researchers
  • Social Scientists
  • Financial Analysts
  • Research Scholars

Prerequisites of the Regression Analysis Training Course

There are no formal prerequisites required for the Regression Analysis Training Course.

Regression Analysis Training Course Overview

Regression Analysis Training in the United States is a comprehensive course designed to provide participants with a deep understanding of regression analysis, a statistical technique used to model relationships between variables. Regression analysis plays a crucial role in data analysis, forecasting, and decision-making across various fields, including economics, finance, marketing, and social sciences.

Economists, Data Scientists, Market Researchers, and Business Analysts in the United States should aim to master this subject to extract valuable insights from data, build predictive models, and make evidence-based decisions. The Regression Analysis Training equips them with the necessary knowledge and skills to harness the power of regression analysis, making it indispensable for those seeking to enhance their statistical and analytical expertise.The Knowledge Academy's 1-day Regression Analysis Course is designed to equip participants with the skills to perform robust regression analysis. It offers a blend of theoretical knowledge and practical application, ensuring a comprehensive understanding of both the concepts and their real-world uses.

Course Objectives

  • To understand the fundamental concepts and types of regression analysis
  • To develop skills to identify and quantify relationships between various data variables
  • To learn to use statistical software for performing regression analysis
  • To gain proficiency in interpreting and presenting regression results
  • To apply regression analysis techniques for predictive modelling and strategic decision-making

Upon completing Regression Analysis Training in the United States, delegates will benefit from enhanced statistical and analytical skills, particularly in the context of data analysis and predictive modeling. They will be well-equipped to analyze data, build regression models, and make informed decisions based on data-driven insights.

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What’s included in this Regression Analysis Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Regression Analysis Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Regression Analysis Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Regression Analysis Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

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Regression Analysis Training FAQs

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The training fees for certification in the United States starts from $1295
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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

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