Line of Best Fit Teacher Resources
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This activity takes you from the basics of equations of lines (slope and intercepts) to scatter plots and lines of best fit. Interpret the slope using the context of the problem and use the regression line to extrapolate values. Included in the detailed lesson plans are a warm-up activity and a link for pre-lesson review on slopes of lines. Unfortunately, the link to the end of lesson PowerPoint evaluation does not work.
This handout begins by asking your statisticians to form hypotheses on the correlation between test scores and student height and test scores and the number of hours watching TV. Then using specific data, your class will create scatter plots, find the line of best fit, calculate correlation values, and discuss the possibility of causation based on their findings.
Students collect data, analyze their data and draw conclusion. In this statistics instructional activity, students identify different patterns through graphing. They make predictions using these patterns and the line of best fit for the future. They approximate the line of best fit using two points.
Students record each other’s shoe sizes. In this statistics lesson, students log each other’s shoe sizes and plot their data on a graph to determine the line of best fit. They use a TI for this assignment.
Students explore the concept of scatter plots. In this scatter plots lesson, students collect data by simulating a seesaw. Students collect data about distance and weight. Students plot the data on their graphing calculator and find a line of best fit to model the data.
Eleventh graders determine a line of regression and coefficient of correlation for bivariate data. In this Algebra II lesson, 11th graders determine the relationship between the regression line and the correlation coefficients. This review lesson provides an opportunity for students to learn the material in a different way, including visually and symbolically.
Students investigate data collection and analysis. In this Algebra I lesson, students create a scatter plot and find the equation of best fit in a simulation of a leaking water pipe.
Students explore the concept of toll roads. For this toll roads lesson, students determine the per-mile charge for a car to travel on a toll road. Students collect cost and distance data on toll roads in Pennsylvania. Students pick two data points and determine the slope of the line. Students find a line of best fit to model their data.
This thirteen page data analysis worksheet contains a number of interesting problems regarding statistics. The activities cover the concepts of average measurements, standard deviation, box and whisker plots, quartiles, frequency distributions, and lines of best fit.
In this equation of a line worksheet, 9th graders solve and complete 4 different multiple choice problems. First, they use the median fit method to determine the equation that most likely represents the line of best fit for the data shown in the scatterplot. Then, students determine the best prediction from the given data table.
Tenth graders investigate slope of a line. In this algebra/Applied math lesson students use technology to explore linear equations in order to connect rate of change to slope of a line.
Middle and high schoolers explore the concept of linear modelling. In this linear modelling lesson, pupils find the line of best fit for life expectancy data of Canadians. They compare life expectancies of men and women, and find the point of intersection when males and females have the same life expectancy.
For this data analysis worksheet, 8th graders solve and complete 4 different problems that include determining the line of best fit for each. First, they write the prediction for an equation for each situation described. Then, students solve each equation created, predicting what is expected in the end of each situation.
Aspiring astronauts graph, interpret, and analyze data. They investigate the relationship between two variables in a problem situation. Using both graphic and symbolic representations they will grasp the concept of line of best fit to describe the relationship between two variables. They also apply measures of central tendency in a problem situation. This math lesson plan provides student handouts, calculator exercises, and answer keys.
Using either data provided or data that has been collected, young mathematicians graph linear functions to best fit their scatterplot. They also analyze their data and make predicitons based on the data. This lesson is intended as a review of linear functions.
Eighth graders experiment with M&M's and a cup attached to a spring to to simulate a bungee jump. They graph the results of the experiment and make predictions for continuing the experiment. They determine the "line of best fit."
Students identify the line of best fit. In this statistics lesson, students analyze graphs and plots to identify positive, negative or no correlation. They find the line of best fit for different scatter plots.
Learners explore scatter plots. In this linear regression instructional activity, groups of pupils graph scatter plots and then find the line of best fit. They identify outliers and explain the correlation. Each group summarizes and shares their findings with the class.
Learners convert degrees between two different units. In this algebra lesson, students graph linear equations and identify the line of best fit. They use their line of best fit to make predictions given a set of data.
Young scholars graph an equation and analyze the data. In this algebra lesson, students graph scatter plots and identify the line of best fit using positive correlation, negative correlation an d no correlation. They apply their data analysis to word problems.