compute (using technology) and interpret the correlation coefficient of a linear fit. For instance, by looking at a scatterplot, students should be able to tell if the correlation coefficient is positive or negative and give a reasonable estimate of the "r" value. After calculating the line of best fit using technology, students should be able to describe how strong the goodness of fit of the regression is, using "r".
Standard detail
MAL1_B2012-25
Depth 1Parent ID: B4F6BE4F04B3443D87B44E276B1B9EAEStandard set: Grades 9, 10, 11, 12
Original statement
Quick facts
- Statement code
- MAL1_B2012-25
- Standard ID
- C69DE4A2B8714F7DAF18E2F33257C7FD
- ASN identifier
- S2788281
- Subject
- Algebra I (2017)
- Grades
- 09, 10, 11, 12
- Ancestor IDs
- B4F6BE4F04B3443D87B44E276B1B9EAE
- Source document
- Algebra I (2017)
- License
- CC BY 3.0 US