Course information

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 Boston 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 Boston 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 Boston 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 Boston, 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

Why choose us

Our Boston venue

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Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

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Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Boston is the capital city of the state of Massachusetts, USA. It has an estimated population of 655,000 people, making it the 24th largest city in America. Boston is one of the oldest cities in America and was the battle ground for many key events in the American Revolution, such as the Boston Tea Party and the Battle of Bunker Hill.

Education in the USA is provided by both public and private schools, and is mandatory until the age of 16.  Pupils conducting their schooling within the USA start off at preschool, followed by elementary school, then middle school, before finishing at high school.  At age 18, US citizens are able to engage in higher education.  Higher education in the USA normally comes in the form of a college, undergraduate school, or a community college – that latter of which doesn’t normally cost anything to attend.  Candidates participating in a course at a college will gain credits towards a bachelor’s degree, whilst candidates participating a course at a community college will be earning credits in order to achieve an associate’s degree.

Boston was home to Americas first public school, Boston Latin School. Boston also operates the United States' second oldest public high school, and its oldest public elementary school.

Boston is considered to be an international area of higher education and medicine. Some of the most famous universities in America and indeed the world are located in Boston. It is the home of both Harvard and MIT (Massachusetts Institute of Technology). These are the top two universities in the world. Universities, research institutes and hospitals receive more funding in Boston than any other are in America. In 2013 they received around $1.8 billion.

Harvard was established in 1636 and is a private Ivy League research university. It is the United States oldest institute of higher education. Harvard has had eight United States presidents graduate from the university. This includes current U.S president Barack Obama.                                                                                                                             

At The Knowledge Academy we offer over 50,000 classroom based training courses in the United States, including popular locations such as Boston. 

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Address

Prudential Tower

800 Boylston Street

16th Floor

Massachusetts 02199 

Boston, 

United States

T: +1 7204454674

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Accounting & Finance Training | Regression Analysis Training in Boston. 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 Accounting & Finance Training | Regression Analysis Training in Boston, 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.

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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What our customers are saying

Accounting & Finance Training | Regression Analysis Training in Boston FAQs

Regression Analysis is a statistical method used to examine the relationship between one or more independent variables and a dependent variable, aiding in predicting future outcomes or understanding associations in data.
Regression Analysis is crucial for business as it enables forecasting, identifies trends, and assesses the impact of variables on outcomes, aiding in informed decision-making and strategy formulation.
Regression Analysis identifies relationships between variables, enabling predictions, uncovering trends, informing decision-making, and validating theories, which is crucial for data-driven insights across various fields.
Regression types include linear, logistic, polynomial, ridge, lasso, and elastic net regression, each suiting different data patterns and analysis needs.
There are no formal prerequisites to attend this Regression Analysis Training Course.
In this Regression Analysis Certification Course, delegates will have 1-day intensive training with our experienced instructors, a digital delegate pack consisting of important notes related to this course, and a certificate after course completion.
This course is a 1-day training course during which delegates participate in intensive learning sessions that cover various course topics.
Through a Regression Analysis Certification, one can acquire skills in statistical modelling, data interpretation, hypothesis testing, predictive analysis, and mastery of regression tools, enhancing analytical and decision-making capabilities in various industries.
After completing a Regression Analysis Course, opportunities include Data Analyst, Financial Analyst, Market Research Analyst, Econometrician, and Statistical Consultant roles in sectors like Finance, Marketing, and Public Policy.
If you face any issues in accessing the course materials, then you can reach out to our customer support team who will provide you with quick assistance to resolve the issue.
The Knowledge Academy in Boston stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition. It's a dependable option for those seeking this Regression Analysis Course.
The training fees for Regression Analysis Training certification in Boston starts from $1295
The Knowledge Academy is the Leading global training provider for Regression Analysis Training.
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Resources are included for a comprehensive learning experience.

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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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