Students build a linear model from a price–demand scatterplot, then use it to predict demand, revenue, and profit at different price points. They analyze curves and determine the price that maximizes profit. A perfect real-world 8th-grade activity for scatterplots, linear modeling, and financial reasoning.
Bring real-world math to life with this engaging Black Friday Pricing & Profit Modeling Worksheet designed for 8th-grade students. In this interactive activity, students analyze a price–demand scatterplot, build a linear model using sliders, and use their model to predict demand, revenue, and profit at different price points. Their final goal is to determine the price that maximizes profit, just like real pricing analysts do in major companies.
Students explore key concepts from 8.SP (scatterplots), and financial literacy, making this a powerful cross-curricular activity that blends math, economics, and real-world decision-making.
Students will analyze a scatterplot of real-world price–demand data and construct a linear model using sliders to fit the trend with minimal error. They will use their model to make predictions at new price points, calculate demand, revenue, and profit, and determine the price that maximizes profit—applying 8th-grade concepts of linear relationships, functions, and statistical modeling to a realistic business scenario.
Know that straight lines are widely used to model relationships between two quantitative variables. For scatter plots that suggest a linear association, informally fit a straight line, and informally assess the model fit by judging the closeness of the data points to the line.
All 8.SP.A.2 activities →Use the equation of a linear model to solve problems in the context of bivariate measurement data, interpreting the slope and intercept. *For example, in a linear model for a biology experiment, interpret a slope of 1.5 cm/hr as meaning that an additional hour of sunlight each day is associated with an additional 1.5 cm in mature plant height*.
All 8.SP.A.3 activities →
More interactive, auto-graded activities on the same standards and topics.
Snack Stand Showdown is a Grade 8 statistics lab where students run a Field Day snack stand and use real data to decide what to charge and how much to buy. They build scatter plots, fit lines of best fit, price from profit curves, place a budgeted vendor order, and read two-way tables. A connected, auto-graded arc covering the full 8.SP standard cluster.
Students help Leo, an ice cream truck owner, analyze sales data by creating and using a linear model. Using sliders to adjust slope and intercept, they minimize model error, find the best-fit line, and predict sales for new temperatures—discovering how data models are built and used in the real world.
Students analyze real-world scatterplots and linear models to interpret bivariate data. They write equations using given slopes and y-intercepts, explain what these values mean in context, make predictions, and evaluate model limitations. Aligned to CCSS 8.SP.A.3 and ideal for statistics practice or assessment.
Help Leo, an ice cream truck owner, uncover how weather affects his sales! Students plot real data points to create a scatter plot, identify trends, and spot outliers. This engaging, hands-on activity builds understanding of correlation, trend lines, and data interpretation using a fun, real-world scenario.
Students help Leo, an ice cream truck owner, build a linear model to predict sales! Using interactive sliders to adjust slope and intercept, they create the best-fit line, minimize model error, and discover how straight lines can model real-world data relationships.
Students collect and summarize data from a live classroom survey on topics like pets, siblings, and school routines. As they enter values, interactive charts update in real time. Students then analyze the graphs and answer summary questions. A fun way to learn data collection and interpretation!
