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Preview of Bivariate Data: Regression Lines

Bivariate Data: Regression Lines

In this project, students explore relationships between two quantitative variables by collecting their own real-world bivariate dataset. After organizing the data, students will represent it using multiple graphical displays, including a histogram and a scatterplot, and analyze patterns or trends that appear. Using statistical tools, students will calculate the least-squares regression line, correlation coefficient, and residuals to evaluate the strength and form of the relationship. The project
Preview of Scatter Plots and Trend Lines

Scatter Plots and Trend Lines

Students will gather data to create a scatter plot. They will learn how to create trend lines for scatter plots and determine the correlation that exists between two sets of data.
Preview of French Fry Scatter Plot & Best Line of Fit

French Fry Scatter Plot & Best Line of Fit

Students will compare the nutritional values and serving sizes of french fries from various fast food restaurants. Based on this information, they will create scatter plots, best lines of fit and the equation of the trend line. Using the equation, they will estimate the unknown values of kid meals and supersized portions of french fries.
Preview of Linear Functions Review

Linear Functions Review

Created by
Maggie Kern
Practice with slope, direct variation, slope-intercept form, point-slope form and Standard form of a line. Identify and calculate parallel and perpendicular lines. Calculate trend lines from scatterplot data.
Preview of Linear Functions Assessment

Linear Functions Assessment

Created by
Karen Graves
Comprehensive Linear Functions Unit Assessment including identifying slope and y-intercept (table, graph, equation), point-slope form, slope-intercept form, standard form, direct variation (table, graph, equation), slope (rate of change) (table, graph, equation), Scatterplots and trend lines, x and y intercepts, changing between 3 forms of a linear equation, writing equations in all 3 forms given different information (2 points, slope and point, parallel, perpendicular, undefined slope). Editabl
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