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  6. Bivariate Data
  7. Scatter Plots And Correlation
  8. Understanding And Applying Scatter Plots
  9. Assessing The Fit Of A Function By Plotting And Analysing Residuals (informally)

9th Grade Assessing The Fit Of A Function By Plotting And Analysing Residuals (informally) Resources

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9th Grade - 10th Grade

Data Analysis - Piecewise Functions - Mathematical Modelling

Data Analysis - Piecewise Functions - Mathematical Modelling

Interactive Video

Data Analysis - Piecewise Functions - Mathematical Modelling

9th Grade - 10th Grade

Math

Engage in modeling piecewise functions using real-world data to analyze trends. Develop insights into function representation, focusing on data-driven decision-making. The learning outcomes include a deep understanding of piecewise functions, proficiency in analyzing data trends, and the ability to apply these concepts to inform decisions based on empirical data. Enhance skills in mathematical modeling and critical analysis through practical application.

6th Grade - 10th Grade

[Understanding and Implementing - Linear Regression - Data Visualization Techniques]

[Understanding and Implementing - Linear Regression - Data Visualization Techniques]

Interactive Video

[Understanding and Implementing - Linear Regression - Data Visualization Techniques]

6th Grade - 10th Grade

Math

Develop proficiency in creating scatter plots and performing linear regression analysis, enabling effective data visualization and trend prediction.

9th Grade - 10th Grade

Data Analysis Skills - Visual Representation & Interpretation - Scatter Plot Analysis

Data Analysis Skills - Visual Representation & Interpretation - Scatter Plot Analysis

Interactive Video

Data Analysis Skills - Visual Representation & Interpretation - Scatter Plot Analysis

9th Grade - 10th Grade

Math

Understand the key concepts of scatter plot analysis and the line of best fit. Gain skills in interpreting data patterns and analyzing relationships within data sets to identify trends and correlations effectively.

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