Linear Regression Models and Forecasting
This course is part of Fundamentos cuantitativos en economía y estadística.
This beginner-friendly course introduces students to various statistical and econometric methods for analyzing, understanding, and interpreting variables in databases. Starting with regression fundamentals, students learn about different regression types, validity requirements for estimators, and interpretation of regression results. The course progresses to advanced topics including time series analysis and basic forecasting techniques using ARMA and ARIMA models. Designed for graduates planning to pursue postgraduate studies in business or finance, this course emphasizes practical applications that enable more precise and well-founded decision-making through data analysis.
Instructors:
Eduardo Saucedo de la Fuente
Spanish
Español
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What you'll learn
Interpret the main components of economic thinking applied to the global business environment that support decision-making processes
Identify various statistical and econometric methods to analyze, understand, and interpret the behavior of variables in databases
Recognize regression fundamentals, elements, advantages, and different types of regression models
Determine if estimators obtained in a regression are valid and appropriate for statistical inference
Interpret estimators from various types of regressions
Calculate basic forecasts and differentiate between econometric models to identify the most appropriate one based on data characteristics
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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There are 4 modules in this course
This course introduces students to essential statistical and econometric methods for analyzing data and making informed decisions. Topics covered include regression analysis fundamentals, the advantages of using regressions, various regression types, and the elements necessary for valid statistical inference. Students learn to interpret estimators from different regression types and calculate basic forecasts. The course also explores time series analysis, including stationary variables, random walk, seasonality, and ARMA/ARIMA models. Throughout the course, emphasis is placed on practical applications that help decision-makers make more effective and well-founded choices based on data analysis.
Tópicos básicos de interés en la regresión lineal
Module 1
Los supuestos requeridos de la regresión lineal
Module 2
Otros tópicos de interés en el mundo de las regresiones
Module 3
Introducción a series de tiempo y pronósticos
Module 4
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Fundamentos cuantitativos en economía y estadística
Payment options
Financial Aid
Instructor
Eduardo Saucedo de la Fuente
4 Courses
Profesor Investigador en EGADE Business School at Tecnológico de Monterrey
Eduardo Saucedo de la Fuente, es actualmente profesor-investigador de tiempo completo en EGADE Business School, del Tecnológico de Monterrey. Asimismo, es miembro del Sistema Nacional de Investigadores del Conacyt, en donde participa como Nivel I.
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