Introduction to Linear Regression
Using technology to find the equation of the least squares regression line.
Key Questions
- Explain the concept of 'least squares' in fitting a regression line.
- Analyze the meaning of the slope and y-intercept in the context of a regression equation.
- Predict how an outlier might influence the equation of the regression line.
ACARA Content Descriptions
Suggested Methodologies
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Planning templates for Mathematics
5E Model
The 5E Model structures lessons through five phases (Engage, Explore, Explain, Elaborate, and Evaluate), guiding students from curiosity to deep understanding through inquiry-based learning.
unit plannerMath Unit
Plan a multi-week math unit with conceptual coherence: from building number sense and procedural fluency to applying skills in context and developing mathematical reasoning across a connected sequence of lessons.
rubricMath Rubric
Build a math rubric that assesses problem-solving, mathematical reasoning, and communication alongside procedural accuracy, giving students feedback on how they think, not just whether they got the right answer.
More in Statistical Investigations and Data Analysis
Box Plots and Five-Number Summary
Constructing and interpreting box plots from a five-number summary to visualize data distribution.
2 methodologies
Comparing Data Sets using Box Plots and Histograms
Using visual displays and summary statistics to compare two or more data sets.
2 methodologies
Bivariate Data and Scatter Plots
Examining the relationship between two numerical variables and identifying trends.
2 methodologies
Correlation and Causation
Understanding the difference between correlation and causation in bivariate data.
2 methodologies
Line of Best Fit and Prediction
Drawing and using lines of best fit to make predictions and interpret relationships.
2 methodologies