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 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
  • Economists
  • 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 is a pivotal statistical method that enables examining the relationship between a dependent variable and one or more independent variables. This technique is vital across various fields for predicting outcomes, assessing trends, and making informed decisions. Its relevance spans economics, engineering, biological, and social sciences, proving essential for data-driven insights.

Proficiency in this Regression Analysis Course is indispensable for professionals who rely on data to guide decision-making processes. Data Scientists, Economists, Engineers, and Research Analysts must extract insights, predict trends, and optimise operations. Mastering this skill enables professionals to validate theories, influence policy decisions, and enhance business outcomes through robust analytical evidence.

This intensive 1-day Regression Analysis Course Training is designed to equip delegates with the foundational knowledge and practical skills in regression analysis. Participants will learn to interpret and apply regression models to real-world data accurately, enhancing their analytical capabilities. The hands-on approach ensures that delegates can confidently utilise regression analysis to support evidence-based decision-making in their respective fields by the end of the session.

Course Objectives

  • To introduce the fundamentals of regression analysis and its applications
  • To demonstrate how to formulate and test hypotheses using regression models
  • To provide insight into selecting appropriate regression techniques for different types of data
  • To enhance the ability to interpret the results of regression analysis critically
  • To teach the application of regression analysis in predicting outcomes and trends

After completing this Regression Analysis Course, delegates will receive a certification in this training, affirming their competence in understanding and applying regression models. This certification enhances their professional profile and opens up opportunities for advanced roles in data analysis, research, and policymaking.

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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 Ottawa venue

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Ottawa is the capital city of Canada. It is located on the bank of the Ottawa River in the east of Southern Ontario province. It has an estimated population of 885,000 people. Ottawa is the fourth largest city in the world. The name of this city comes from the Algonquin word Odawa which means “to trade”. Education in Canada is mostly free and publicly funded. It is overseen by the federal, provincial and local governments, with the education within provincial jurisdiction and the curriculum overseen by the province. Education is compulsory in most provinces up to the age of 16. Parents can choose between sending their children to one of the public schools or they can sent them to a fee paying private school. Those who live in Ottawa and find that picking a secondary school is a fraught decision involving school zones and ratings. There are four main public school boards in Ottawa. One is English, one is English-Catholic, and one is French and another is French-Catholic. The Ottawa-Carleton District School Board which is the largest with 147 schools to oversee. The catholic school board has 85 schools, the Conseil des écoles catholiques du Centre-Est has 49 schools and the Conseil des écoles publiques de l'Est de l'Ontario has 37 schools. Canada’s higher has a very good reputation. However there is no formal ranking system and students will often choose colleges and universities bases on geographic convenience and the reputation of a particular course. Ottawa is one of the best educates cities in Canada as it is believed that over half of the population have graduated from college or university. Ottawa has the highest per capita concentration of engineers, scientists, and residents with PhDs in Canada. The University of Ottawa was founded in 1848 and was the first higher education institute to be established in the city.  The university is a bilingual public university. The University of Ottawa is ranked in the top 300 universities in the world, coming in at number 284 and is a top 15 university in Canada.  The university has faculties in the following areas: arts, civil law, common law, education, engineering, post graduate studies, health sciences, medicine, science, social sciences and the school of management. Ottawa also has two main public colleges Algonquin College and La Cité collégiale. There are also 2 catholic universities in the city; Dominican University College and Saint Paul University.

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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 Ottawa. 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 Ottawa, 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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Accounting & Finance Training | Regression Analysis Training in Ottawa 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 Ottawa 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 Ottawa starts from CAD1695
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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