Using Regression to Forecast in Microsoft Excel

Using Regression to Forecast in Microsoft Excel
Published 8/2025
Duration: 1h 37m | .MP4 1280×720 30 fps(r) | AAC, 44100 Hz, 2ch | 2.98 GB

Learn how to apply regression techniques in Excel to predict trends and make data-driven forecasts

What you’ll learn
– Learn how to choose the right regression method for different data types.
– Apply simple linear regression to analyze straight-line trends in data.
– Understand and use the regression equation to describe relationships.
– Use the LINEST function to calculate best-fit values and interpret results.
– Forecast future values using Excel tools like TREND and the Fill Handle.
– Extend data trends using the Series command for linear projections.
– Analyze sales and advertising data with case-based forecasting models.
– Apply exponential, logarithmic, and power regressions for curved trends.
– Use GROWTH and LOGEST functions for nonlinear trend forecasting.
Requirements
– Microsoft Excel (Office 2021 or Microsoft 365) installed.
– Basic knowledge of Excel (e.g., entering data, simple calculations).
– Access to a computer with a stable internet connection.
– No prior advanced Excel skills required; suitable for beginners.

Description
The course begins by exploring how to choose the most appropriate regression method based on data type and trends. Students will learn to use simple linear regression to model relationships, interpret the regression equation, and calculate best-fit values using functions such asLINESTandTREND. Through practical examples-such as analyzing the link between sales and advertising-students will forecast future values using the Fill Handle, Series command, and Excel’s built-in forecasting tools.

By the end of this course, students will be able to select, apply, and interpret regression models in Excel to identify patterns and build reliable forecasts for real-world applications.

Who this course is for:
– This course is for students learning data analysis using Excel.
– Ideal for business professionals who need to forecast trends.
– Great for marketers analyzing sales and advertising results.
– Useful for analysts tracking seasonal or long-term changes.
– Made for Excel users ready to apply regression in real-world tasks.
– Perfect for finance or economics students studying predictive tools.
– Designed for those comparing multiple regression types in Excel.
– A fit for anyone modeling growth using exponential or power trends.
– Tailored for learners working with both linear and nonlinear data.
– Helpful for professionals needing accurate Excel-based forecasting.
More Info

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