How this resource helps
35-slide full-parent NC Math 1 lesson covering S-ID.6a, b and c with original paired data, technology workflows and signed residual plots. Standard NC.M1.S-ID.6: Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. NC.M1.S-ID.6a Fit a least squares regression line to linear data using technology. Use the fitted function to solve problems. NC.M1.S-ID.6b Assess the fit of a linear function by analyzing residuals. NC.M1.S-ID.6c Fit a function to exponential data using technology. Use the fitted function to solve problems.
What’s Included
- One editable 16:9 PowerPoint with 35 slides and teacher speaker notes on every slide.
- Full standard and all its subparts, unpacking, essential question, learning goals, warm-up, vocabulary and teaching routine.
- Five worked models, guided practice, partner work, five scored independent items, small-group intervention and an open extension.
- Matched blank/completed guided notes, a three-item exit ticket and reflection.
- Editable mathematical diagrams, tables and graphs where relevant. Graphing calculator or spreadsheet activities are included where required by the standard.
Resource details
- Grade / course
- NC Math 1
- Subject and resource type
- Mathematics · PowerPoint Lesson
- Files
- 0 main PDF pages · 35 editable slides · PPTX
- Estimated completion time
- 45–60 minute lesson
- Answer key
- Teacher answer guidance is included in the speaker notes on every slide.
Standard or objective
NC.M1.S-ID.6 — Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. NC.M1.S-ID.6a Fit a least squares regression line to linear data using technology. Use the fitted function to solve problems. NC.M1.S-ID.6b Assess the fit of a linear function by analyzing residuals. NC.M1.S-ID.6c Fit a function to exponential data using technology. Use the fitted function to solve problems.
Represent data on two quantitative variables on a scatter plot, and describe how the variables are related. NC.M1.S-ID.6a Fit a least squares regression line to linear data using technology. Use the f
Original Saint Pierre Learning Resources lesson aligned to the North Carolina Standard Course of Study for NC Math 1 Mathematics.
Learner directions
Students work through each slide as the teacher directs, completing practice and exit-ticket items.
Teaching suggestions
Project each slide in order. Follow the teacher models, then guide practice as labeled on each slide.