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Fitting a Model to Data Teacher Resources
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Students bounce a ball from different heights and measure the height of the bounce. In this linear relations lesson plan, students collect data by bouncing a ball from various heights. Students collect data on the height of the bounces and graph the information. They draw the line of best fit. Students use the graph to predict the height of a bounce.
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.
Learners interpret data from a three-dimensional array of current monitors to determine an overall pattern of water circulation. They hypothesize what effect an observed water circulation pattern might have on seamount fauna. A very interesting and high-level science lesson!
Taking students through problems 17-19 in this practice CAHSEE, the speaker illustrates how to solve problems involving reading data from tables, probability, and scatterplots. The speaker models careful question-reading and the necessary thinking process to find the correct answer. Students who have a hard time reading questions carefully would benefit from this video.
After reviewing recent unemployment data, learners will determine employment rate changes that have occurred in the past month and year. Background information, statistical data, vocabulary, and resource links are included to make your discussion well-informed and eventful.
Learners use the CPI-U index to determine how inflation changes have affected consumerism, labor, and the urban landscape. Young economists take a critical look at some hard-hitting data to explore the similarities in inflation rates related to the CPI from the past few years.
Eighth graders graph a scatter plot and analyze it. In this math instructional activity, 8th graders plot their data using coordinate pairs, creating scatter plots. They draw the line of best fit and must come up with an equation for that line. They use the Ti to graph their results.
High schoolers explore the concept of the inverse relationship. In this inverse relationship lesson, students collect data about light over distance. High schoolers use light sensors to collect data over a distance. Students plot the points and find an equation to model the data.
High schoolers observe and record the motion data for a given object. Using TI-Nspire software technology and a CBR2 or Go-Motion motion detector, students collect and analyze motion data to determine frequency and amplitude. High schoolers use an exponential function to model damping. They compare the model data to experimental data.
Twelfth graders explore an application of integration. In this Calculus lesson, 12th graders explore the length of the day where they live during the winter and summer solstice. Students are provided with data relating to the solstices at various latitudes. Students use the symbolic capacity of the TI-89 to find a regression equation and interpolate date from the equation using integration.
Twelfth graders explore linear relationships. In this linear relationships lesson, 12th graders create a scatter plot of hand span v. the number of tootsie pops grabbed with one hand. Students find a linear relationship between there hand span and the number of tootsie pops they can grab. Students find a linear model to fit the data.
This activity looks at polynomial operations from a grahing perspective. Using the basic operations of addition, subtraction, multiplication, and division on polynomials, learners investigate graphs. In addition, regression modeling is done and compared to algebraic results.