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References: Data Analysis and Real-World Applications

  1. Scatter Plot - Wikipedia - Explains how scatter plots display paired data on a coordinate plane to reveal relationships between two variables, directly supporting this chapter's lessons on creating and reading scatterplots.

  2. Correlation - Wikipedia - Covers how correlation measures the strength and direction of association between variables, including the important distinction between correlation and causation emphasized in this chapter.

  3. Simple Linear Regression - Wikipedia - Describes the statistical method for fitting a straight line to paired data by minimizing squared errors, matching the chapter's coverage of line of best fit and linear regression.

  4. Big Ideas Math: Algebra 1 (Common Core Edition) - Ron Larson and Laurie Boswell - Big Ideas Learning - Includes chapters on scatter plots, correlation, lines of best fit, and arithmetic and geometric sequences with practice problems aligned to this chapter's topics.

  5. Glencoe Algebra 1 (Common Core Edition) - Carter, Cuevas, Day, Malloy - McGraw-Hill Education - Provides instructional sections on statistics and data analysis, linear regression, sequences, and exponential growth models used throughout this chapter.

  6. Scatter (XY) Plots - Math Is Fun - Illustrated tutorial on plotting paired data, recognizing positive, negative, and no correlation, and sketching a line of best fit, mirroring the chapter's scatterplot and correlation sections.

  7. Least Squares Regression - Math Is Fun - Step-by-step walkthrough of the least-squares formulas for slope and intercept, the same regression method the chapter uses to calculate lines of best fit from data.

  8. Describing Relationships Between Two Quantitative Variables - Khan Academy - Video lessons and practice on scatterplots, correlation strength, and trend lines that reinforce the chapter's data analysis and prediction skills.

  9. Arithmetic Sequences and Sums - Math Is Fun - Explains common difference, the explicit formula for arithmetic sequences, and their connection to linear patterns, supporting the chapter's arithmetic sequence section.

  10. Compound Interest - Math Is Fun - Details the compound interest formula and how repeated percentage growth compounds over time, directly supporting the chapter's compound interest and exponential application examples.