Students will explore how to calculate linear growth and decay through exercises involving real-world data, such as population growth, depreciation of assets, or chemical reaction rates. They will learn to identify linear patterns in data sets and use appropriate formulas to model and predict future values. This knowledge is crucial for understanding how changes over time can be quantified and predicted in various contexts.

Linear growth and decay describe scenarios where the change in a quantity is constant over equal successive periods. Students will delve into the mathematical principles underlying these phenomena, exploring how to model them with linear equations. Understanding these concepts equips students with the analytical tools necessary to interpret and manipulate data that exhibit steady increases or decreases, preparing them for advanced studies in economics, biology, and environmental science.

Students examine the real-life implications of linear growth and decay in diverse fields such as economics, biology, and environmental studies. They explore how economists use linear models to predict financial trends, how biologists model population dynamics, and how environmental scientists study pollutant degradation. These practical applications highlight the relevance of linear models in making informed decisions and solving complex problems in professional and everyday settings.