Standard with code: S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit. (Statistics and Probability is a Modeling Conceptual Category.) Domain: Interpreting Categorical and Cluster: Interpret linear models. Quantitative Data Quarter 1: Quarter 2: Quarter 3: Quarter 4: Compute (using technology) the correlation coefficient of a linear fit. Define the correlation coefficient. Interpret the correlation coefficient of a linear fit as a measure of how well the data fit the relationship. From Appendix A: on students’ work with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a cause-and-effect relationship arises in S.ID.9. Make sense of Reason abstractly and Construct viable Model with Use appropriate tools Attend to precision. Look for and Look for and problems and quantitatively. arguments and mathematics. strategically. make use of express regularity persevere in solving critique the structure. in repeated them. reasoning of reasoning. others. Evidence of Student Vocabulary Knowledge Skills Instructional Achievement Level Descriptors Attainment/Assessment
Standard with code: S.ID.8 Compute (using technology) and interpret the correlation coefficient of a linear fit. (Statistics and Probability is a Modeling Conceptual Category.) Domain: Interpreting Categorical and Quantitative Data Cluster: Interpret linear models. Quarter 1: Quarter 2: Quarter 3: Compute (using technology) the correlation coefficient of a linear fit. Define the correlation coefficient. Interpret the correlation coefficient of a linear fit as a measure of how well the data fit the relationship. From Appendix A: on students’ work with linear relationships in eighth grade and introduce the correlation coefficient. The focus here is on the computation and interpretation of the correlation coefficient as a measure of how well the data fit the relationship. The important distinction between a statistical relationship and a cause-and-effect relationship arises in S.ID.9. Quarter 4: Make sense of problems and persevere in solving them. Reason abstractly and quantitatively. Construct viable arguments and critique the reasoning of others. Model with mathematics. Use appropriate tools strategically. Attend to precision. Look for and make use of structure. Look for and express regularity in repeated reasoning. Evidence of Student Attainment/Assessment Vocabulary Knowledge Skills Instructional Achievement Level Descriptors
Algebra-1-Pacing-Guide-Version-3.docx