By the end of this course, learners will be able to apply linear regression techniques, interpret statistical outputs, and implement predictive models using SPSS and Excel. Through a blend of foundational theory and real-world applications, students will gain hands-on experience in analyzing datasets across engineering, energy, and finance.
Linear Regression & Predictive Modeling with SPSS
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Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Apply linear regression and interpret statistical outputs.
Build predictive models in SPSS and Excel with real datasets.
Use regression in engineering, energy, and financial analysis.
Skills you'll gain
Details to know
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Recently updated!
September 2025
Assessments
10 assignments
Taught in English
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There are 3 modules in this course
This module introduces the fundamentals of linear regression modeling using SPSS. Learners will explore the conceptual foundations of regression, understand the importance of statistical significance, and practice visualizing data relationships. By the end of this module, students will be able to construct regression equations, interpret coefficients, and evaluate the strength of predictive models.
What's included
9 videos4 assignments1 plugin
This module demonstrates the practical application of regression modeling across engineering and energy datasets. Learners will examine case studies such as copper expansion and energy consumption, applying regression to interpret real-world phenomena. The focus is on extending regression analysis to scientific and applied contexts while validating model consistency with new data.
What's included
6 videos3 assignments
This module focuses on financial applications of regression, particularly in assessing debt, credit risk, and forecasting. Learners will build regression models to evaluate debt-to-income ratios, credit card liabilities, and predictive outcomes using Excel and SPSS. By mastering these skills, students will enhance their ability to make data-driven financial decisions.
What's included
6 videos3 assignments
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