Statistics: Two Variable Data

Statistics

Unit 3: Two-Variable Data

Complete Unit Bundle that teaches scatterplots, correlation, linear regression, and more!

Welcome! These are the complete unit plans for the third unit in my regular level Statistics class.

When you purchase this product, you get the following:

• 5 complete sets of student guided notes (annotated answer keys included)
• 5 homework problem sets + complete test review (annotated answer keys included)
• 2 assessments – quiz and test (answer keys included)
• 2 in-class review PowerPoint presentations
• 4 activities (including Last Man Standing review game)
• 1 project
• Suggested pacing and learning targets

All of the resources are 100% editable, to modify to fit your classroom needs. The zip folder includes the Word document, which you have permission to edit completely. The PDF version and answer keys are included for your convenience. There are also PowerPoint presentations for some of the review documents.

I teach this course without a textbook, so everything that is provided, can be used without supplementation.

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The student-friendly learning targets for this unit are:

• Students will be able to create, calculate, and compare numerical and graphical representations for two categorical variables.
• Students will be able to represent and describe (direction, form, strength, unusual features) bivariate quantitative data using scatterplots.
• Students will be able to calculate and interpret the correlation for a linear relationship.
• Students will be able to distinguish between correlation and causation.
• Students will be able to calculate a predicted response value using a linear regression model.
• Students will be able to estimate and interpret slope and y-intercept for the least-squares regression line model.
• Students will be able to represent and interpret differences between measured and predicted responses using residuals.

The Common Core Math Standards covered in this unit are:

• ID.B.5: Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
• ID.B.6: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
• ID.B.6.A: Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
• ID.B.6.B: Informally assess the fit of a function by plotting and analyzing residuals.
• ID.B.6.C: Fit a linear function for a scatter plot that suggests a linear association.
• ID.C.7: Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
• ID.C.8: Compute (using technology) and interpret the correlation coefficient of a linear fit.
• ID.C.9: Distinguish between correlation and causation.

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Interested in my bundled units?

Statistics: Semester 1 Curriculum Bundle (Units 1 – 6)

Statistics: Semester 2 Curriculum Bundle (Units 7 – 11)

Check out my complete curriculum:

Statistics: The Complete Curriculum Bundle (Units 1 – 11)

You can check out each individual unit below!

• Unit 1 – One-Variable Data
• Unit 2 – The Normal Distribution
• Unit 3 – Two-Variable Data
• Unit 4 – Collecting Data
• Unit 5 – Probability
• Unit 6 – Random Variables
• Unit 7 – Sampling Distributions
• Unit 8 – Confidence Intervals
• Unit 9 – Hypothesis Testing
• Unit 10 – Comparing Two Populations
• Unit 11 – Chi-Square Distributions

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If you need extra explanations or additional guidance, I would love to help!! Contact me at goldiesmathemporium[at]gmail.com for any questions or samples.

I want to provide the best possible resources to help other teachers out! You will be notified of any future updates and additions to this product and it will be free of charge. Your support is important and I thank you for allowing me to continue doing what I love to do.

Note: I am not affiliated with nor endorsed by any textbook or other curriculum provider. I am a classroom teacher who creates curriculum materials to help other teachers.

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