Unit 3 Modeling Linear Data Course: Algebra 1 – Topic: 9 Understanding Functions Day: 44 – Common Core State Standard: Mathematical Practice: CCSS.MATH.CONTENT.HSS.ID.C.7 CCSS.MATH.PRACTICE.MP5 Interpret the slope (rate of change) and the Use appropriate tools intercept (constant term) of a linear model in the strategically. context of the data. CCSS.MATH.PRACTICE.MP7 CCSS.MATH.CONTENT.HSS.ID.C.8 Look for and make use of Compute (using technology) and interpret the structure. correlation coefficient of a linear fit. Objective: I can statement: The student can compute the correlation I can compute the coefficient of a set of linearly related data using correlation coefficient of a technology. set of linearly related data using technology. Procedures: Materials: 1. Students will complete the Week 9 Bellringer Week 9 Bellringer (Day 44) (Day 44). Day 44 Correlation 2. Students will work with partners and complete Coefficient Practice with a the Day 44 Correlation Coefficient Practice with a TI84 TI84. Day 44 Using Correlation – 3. The Day 44 Correlation Coefficient and Coefficient and Regressions – Regressions will be used to look for Week 9 Exit Slip (Day 44) misconceptions and encourage discussion. Day-44-Practice- Regression 4. Students will complete Week 9 Exit Slip (Day 44) before leaving for the day. 5. Use the Day-44-Practice- Regression as individual practice or homework. Accommodations/Special Circumstances: Technology: TI-84 Microsoft Excel
Unit 3 – Modeling Linear Data Course: Algebra 1 Topic: 9 – Understanding Functions Day: 44 Common Core State Standard: CCSS.MATH.CONTENT.HSS.ID.C.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data. CCSS.MATH.CONTENT.HSS.ID.C.8 Compute (using technology) and interpret the correlation coefficient of a linear fit. Mathematical Practice: CCSS.MATH.PRACTICE.MP5 Use appropriate tools strategically. CCSS.MATH.PRACTICE.MP7 Look for and make use of structure. Objective: The student can compute the correlation coefficient of a set of linearly related data using technology. I can statement: I can compute the correlation coefficient of a set of linearly related data using technology. Procedures: 1. Students will complete the Week 9 Bellringer (Day 44). 2. Students will work with partners and complete the Day 44 Correlation Coefficient Practice with a TI84. 3. The Day 44 – Correlation Coefficient and Regressions will be used to look for misconceptions and encourage discussion. 4. Students will complete Week 9 Exit Slip (Day 44) before leaving for the day. 5. Use the Day-44-Practice- Regression as individual practice or homework. Materials: Week 9 Bellringer (Day 44) Day 44 Correlation Coefficient Practice with a TI84 Day 44 – Using Correlation Coefficient and Regressions Week 9 Exit Slip (Day 44) Day-44-Practice- Regression Accommodations/Special Circumstances: Technology: TI-84 Microsoft Excel