{"results":"
\n\n
\n
\n
\n
\n\n20\nItems in Unit\n\n
\n
\n
\n\"Common\n\n
\n
\n
\n
\nLesson Planet Curated\n
\n

\nCommon Core Algebra 1, Unit 5: Bivariate Data\n

\n
\n\nFor Teachers\n\n9th - 10th\n\nStandards\n
\n
\n
\nCommon Core Algebra 1, Unit 5 is all about Bivariate Data. The first lesson in the series begins with a video on creating a two-way frequency table. Viewers learn how to calculate relative frequencies within the table to determine...\n
\n
\n
\n\nGet Free Access\n
\n
\n
\n
\n\n
\n\n
\n\n
\n
\n
\n
\n\n55\nItems in Unit\n\n
\n
\n
\n\"TeachEngineering:\n\n
\n
\n
\n
\nLesson Planet Curated\n
\n

\nTeachEngineering: Walk the Line - A Module on Linear Functions\n

\n
\n\nFor Teachers\n\n7th - 9th\n\nStandards\n
\n
\n
\nThe nine resources in the TeachEngineering: Walk the Line - A Module on Linear Functions unit, designed for Pre-algebra or Algebra 1 classes, focuses on the characteristics of linear equations in algebraic and graphic formats. Scholars...\n
\n
\n
\n\nGet Free Access\n
\n
\n
\n
\n\n
\n\n
\n\n
\n
\n
\n
\n\n38\nItems in Assessment Set\n\n
\n
\n
\n\"Balanced\n\n
\n
\n
\n
\nLesson Planet Curated\n
\n

\nBalanced Assessment: Exemplar High School Packet\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nThe Exemplar High School Balanced Packet is a collection of 19 assessment tasks designed to test scholars’ knowledge of Algebra 1 concepts. Learners create graphs that represent how things change over time, build functions to model...\n
\n
\n
\n\nGet Free Access\n
\n
\n
\n
\n\n
\n\n
\n\n
\n
\n
\n
\n\n11\nItems in Course\n\n
\n
\n
\n\"Common\n\n
\n
\n
\n
\nLesson Planet Curated\n
\n

\nCommon Core Algebra 1\n

\n
\n\nFor Teachers\n\n9th - 10th\n\nStandards\n
\n
\n
\nThe Flipped-Mastery Classroom offers an entire Algebra 1 class aligned to Common Core Standards. Lessons begin with an instruction video. Learners can pause the video to take notes and replay the video to check for understanding. The...\n
\n
\n
\n\nGet Free Access\n
\n
\n
\n
\n\n
\n\n
\n\n
\n
\n
\n
\n\n20\nItems in Topic\n\n
\n
\n
\n\"Crash\n\n
\n
\n
\n
\nLesson Planet Curated\n
\n

\nCrash Course: Artificial Intelligence\n

\n
\n\nFor Students\n\n6th - 12th\n\nStandards\n
\n
\n
\nJabril, assisted by his John Green Bot, narrate a Crash Course in Artificial Intelligence and Machine Learning. The 20 videos in the collection examine the logic behind AI, its history, how it is being used today, and show some practical...\n
\n
\n
\n\nGet Free Access\n
\n
\n
\n
\n\n
\n\n
\n\n
\n
\n
\n
Performance
\n
\n
\n
\n\"Regression\n\n
\n
\n
\n
\nRadford University\n
\n

\nRegression Analysis Activity\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nDon't let your knowledge of regression analysis regress. Pupils take part in three activities to learn about regression curves. They research and collect data to predict how long it will take a basketball to hit the ground, find a...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Multivariate\n\n
\n
\n
\n
\nKenan Fellows\n
\n

\nMultivariate Least Squares Regression Model with Variable Selection\n

\n
\n\nFor Students\n\n9th - 12th\n\nStandards\n
\n
\n
\nThe risk of contracting an infection in the hospital is low, but it does happen. Learn what risk factors have the highest correlation with hospital-acquired infections in the final lesson of a three-part series. Using the open source R...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Interactive
\n
\n
\n
\n\"Least-Squares\n\n
\n
\n
\n
\nPHET\n
\n

\nLeast-Squares Regression\n

\n
\n\nFor Students\n\n8th - 12th\n\nStandards\n
\n
\n
\nLess is best when looking at residuals. Scholars use an interactive to informally fit a linear regression line to data on a scatter plot. The interactive provides a correct best fit line with residuals and correlation coefficient to...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Least\n\n
\n
\n
\n
\nKenan Fellows\n
\n

\nLeast Squares Linear Regression in R\n

\n
\n\nFor Students\n\n9th - 12th\n\nStandards\n
\n
\n
\nThe task? Determine the how effective hospitals are at reducing the rate of hospital-acquired infections. The method? Data analysis! Using an open source software program, individuals use provided data and create scatterplots to look for...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Instructional Video12:40
\n
\n
\n
\n\"Regression:\n\n
\n
\n
\n
\nCrash Course\n
\n

\nRegression: Crash Course Statistics #32\n

\n
\n\nFor Students\n\n9th - 12th\n\nStandards\n
\n
\n
\nRegression models help make sense of statistical data and assist people in making predictions describing the world around us. A thorough video lesson discusses linear regression models and concepts related to the models, such as...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Designing\n\n
\n
\n
\n
\nKenan Fellows\n
\n

\nDesigning and Analyzing Data Collected from Wearable Devices to Solve Problems in Health Care\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nWearable devices have become more the norm than the exception. Learners analyze data from a sample device with a regression analysis in a helpful hands-on lesson. Their focus is to determine if there is a connection between temperature...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Unit Plan
\n
\n
\n
\n\"Module\n\n
\n
\n
\n
\nMathematics Vision Project\n
\n

\nModule 8: Modeling Data\n

\n
\n\nFor Teachers\n\n8th - 10th\n\nStandards\n
\n
\n
\nStatistics come front and center in this unit all about analyzing discrete data. Real-world situations yield data sets that the class then uses to tease out connections and conclusions. Beginning with the basic histogram and...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Linear\n\n
\n
\n
\n
\nCurated OER\n
\n

\nLinear Regression and Correlation\n

\n
\n\nFor Teachers\n\n8th - 10th\n
\n
\n
\nLearners explore scatter plots. In this linear regression lesson, 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...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Unit Plan
\n
\n
\n
\n\"Real\n\n
\n
\n
\n
\nRadford University\n
\n

\nReal World Data\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nMake math class feel more real by using real-world data. Scholars research or collect data on several different topics, such as nutrition, the motion of moving objects, cooling curves, and daylight hours. They create scatter plots using...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Performance
\n
\n
\n
\n\"Data\n\n
\n
\n
\n
\nRadford University\n
\n

\nData Driven\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nUse the data for a good cause. Groups first analyze provided data and decide which function type would best model the situation. They then investigate a problem relevant to their lives by collecting data and analyzing the results using...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Modeling\n\n
\n
\n
\n
\nEngageNY\n
\n

\nModeling a Context from Data (part 2)\n

\n
\n\nFor Teachers\n\n9th - 10th\n\nStandards\n
\n
\n
\nForgive me, I regress. Building upon previous modeling activities, the class examines models using the regression function on a graphing calculator. They use the modeling process to interpret the context and to make predictions...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Applying\n\n
\n
\n
\n
\nKenan Fellows\n
\n

\nApplying Linear Regression to Marathon Data\n

\n
\n\nFor Teachers\n\n10th - 12th\n\nStandards\n
\n
\n
\nIt's not a sprint, it's a marathon! Statistic concepts take time to develop and understand. A guided activity provides an opportunity for individuals to practice their linear regression techniques in spreadsheet software. The activity...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Comparison\n\n
\n
\n
\n
\nCurated OER\n
\n

\nComparison of Univariate and Bivariate Data\n

\n
\n\nFor Teachers\n\n8th - 12th\n
\n
\n
\nLearners explore the concept of univariate and bivariate data. In this univaritate and bivariate data lesson, pupils discuss the differences between univariate and bivariate data. They work sample problems where they must construct box...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Lesson Plan
\n
\n
\n
\n\"Nonlinear\n\n
\n
\n
\n
\nAmerican Statistical Association\n
\n

\nNonlinear Modeling: Something Fishy\n

\n
\n\nFor Teachers\n\n9th - Higher Ed\n\nStandards\n
\n
\n
\nThere are plenty of fish in the sea, but only a few good resources on regression. Young mathematicians first perform a linear regression analysis on provided weight and length data for fish. After determining that a linear model is not...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Activity
\n
\n
\n
\n\"Educational\n\n
\n
\n
\n
\nUS Department of Commerce\n
\n

\nEducational Attainment and Marriage Age - Testing a Correlation Coefficient's Significance\n

\n
\n\nFor Teachers\n\n11th - 12th\n\nStandards\n
\n
\n
\nDo women with college degrees get married later? Using a provided scatter plot of the percentage of women who earn bachelor's degrees and the median age at which women first get married over time, pupils conduct a linear regression...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Unit Plan
\n
\n
\n
\n\"Mathematical\n\n
\n
\n
\n
\nRadford University\n
\n

\nMathematical Modeling: Lessons 2-3\n

\n
\n\nFor Teachers\n\n9th - 12th\n\nStandards\n
\n
\n
\nNot all functions are created equal. Pupils apply regression analysis using polynomial, exponential, and logarithmic functions to investigate the relationship between variables and to decide which function would be best to model the...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Instructional Video7:48
\n
\n
\n
\n\"Fitting\n\n
\n
\n
\n
\nKhan Academy\n
\n

\nFitting a Line to Data, Regression, Probability and Statistics\n

\n
\n\nFor Students\n\n7th - 11th\n
\n
\n
\nSal trades his tablet for an Excel spreadsheet in this video, which covers fitting data to a line. Using a word problem about median income, he not only solves the problem but also demonstrates how to use scatter plots and Excel tools in...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Worksheet
\n
\n
\n
\n\"Regression\n\n
\n
\n
\n
\nCurated OER\n
\n

\nRegression Analysis\n

\n
\n\nFor Students\n\n9th\n
\n
\n
\nIn this regression analysis worksheet, 9th graders solve 10 different word problems related to regression analysis. First, they use the information given to find a suitable function to model the data. Then, students use the model to...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n
\n\n
\n
\n
\n
Unit Plan
\n
\n
\n
\n\"Modeling\n\n
\n
\n
\n
\nMathematics Vision Project\n
\n

\nModeling Data\n

\n
\n\nFor Teachers\n\n9th - 10th\n\nStandards\n
\n
\n
\nIs there a better way to display data to analyze it? Pupils represent data in a variety of ways using number lines, coordinate graphs, and tables. They determine that certain displays work with different types of data and use...\n
\n
\n
\n\nGet Free Access\n\nSee Review\n
\n
\n
\n
\n\n
\n\n\n","pagination":"
\n
\n
\n"}