Find where to buy the TI-84 Plus CE graphing calculator in a variety of bold, fun colors.
Download free 90-day trial versions of the most popular TI software and handheld emulators.
Bring a new dimension of learning to your classroom with activities that put math in motion.
Explore teaching strategies for synchronous and asynchronous learning with TI technology.
Drive deeper, more relevant understanding of science in middle grades and high school.
TI Connect™ CE
Students use polynomial regression to develop and assess the fit of equations modeling data. The equation models are then evaluated for reasonableness in their use for extrapolating beyond the given data sets.
In this activity, students use polynomial regression to develop and assess the fit of equations modeling data. The equation models are then evaluated for reasonableness in their use for extrapolating beyond the given data sets.
Students will learn to assess the fit of an equation to a set of data using R2. They learn that at times, the equation that best fits may not be what they first thought. Visual assessment may lead the student to believe that a cubic equation will fit best, while the quartic equation fits slightly better and yields an R2 value closer to 1.
In the additional problems, students will create a scatter plot and use polynomial regression to find an appropriate equation to fit the given NASDAQ index data and weekly gasoline price data.
© Copyright 1995-2020 Texas Instruments Incorporated. All rights reserved.