Line of Best Fit (Trend Line)

Picarella, John

dc.contributor.author	Picarella, John
dc.date.accessioned	2021-09-07T19:58:41Z
dc.date.available	2021-09-07T19:58:41Z
dc.date.issued	2006-08-14
dc.identifier.uri	http://hdl.handle.net/20.500.12648/3697
dc.description	Questions, comments or suggestions about this model may be sent to Dr. Leigh Little, llittle@brockport.edu, The College at Brockport.
dc.description.abstract	Students will use math modeling to provide a means of presenting and interpreting data collected and entered into the calculator, and then determine the formula for the line of best fit (trend line) for the data collected. They will determine the correlation between the data collected and the line and then interpolate and extrapolate additional data points.
dc.subject	Data
dc.subject	Linear Regression
dc.subject	Analysis
dc.subject	Best Fit
dc.subject	Trend
dc.subject	Scatter Plot
dc.subject	CMST
dc.subject	TI Calculator
dc.title	Line of Best Fit (Trend Line)
dc.type	lesson_plan
refterms.dateFOA	2021-09-07T19:58:42Z
dc.description.institution	SUNY Brockport
dc.source.status	published
dc.description.publicationtitle	Lesson Plans
dc.audience	9-12th Grades
dc.contributor.organization	The College at Brockport
dc.languate.iso	en_US