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REGENTS EXAMS
Common Core Exams and Samplers

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Common Core Worksheets

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Common Core Regents Books

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EXTRAS

REGENTS EXAM ARCHIVES
1866-2017

JMAP RESOURCE ARCHIVES
AI/GEO/AII (2015-17)
IA/GE/A2 (2007-17)
Math A/B (1998-2010)

REGENTS RESOURCES
All Subjects

INTERDISCIPLINARY EXAMS

NEW YORK CITY TEACHER RESOURCES


STANDARD S.ID.B.6
(Shared between AI and AII)

Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.  a. Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear and exponential models. b. Informally assess the fit of a function by plotting and analyzing residuals. c. Fit a linear function for a scatter plot that suggests a linear association.

WORKSHEETS

AI

Regents-Scatter Plots 1
IA
create
3 TST
PDF
DOC
TNS
Regents-Scatter Plots 2
IA
describe
10 TST
PDF
DOC
TNS
Regents-Scatter Plots 3a
IA
line of best fit, MC
8 TST
PDF
DOC
TNS
Regents-Scatter Plots 3b
IA
line of best fit, bimodal
TST
PDF
DOC
Regents-Correlation Coefficient and Residuals
AI
5 TST
PDF
DOC
TNS
Regents-Regression 1
AI
linear
5 TST
PDF
DOC
TNS
Regents-Regression 2
A2/B
linear
1/14 TST
PDF
DOC
TNS
Regents-Regression 3
AI
exponential
2 TST
PDF
DOC
TNS
Regents-Regression 4
A2/B
exponential
8/7 TST
PDF
DOC
TNS
Regents-Regression 5
AI
choose model
1 TST
PDF
DOC
TNS
AII
Regents-Regression 6
AII/A2
choose model
1/1 TST
PDF
DOC
TNS
AI
Practice-Scatter Plots 1
create
8 WS
PDF
Practice-Scatter Plots 2
describe
8 WS
PDF
Practice-Scatter Plots 3
line of best fit
4 WS
PDF
Practice-Regression
linear, choose model
8 WS
PDF
LESSON PLANS Linear, Quadratic and Exponential Regression PDF
DOC
Use Residuals to Assess Fit of a Function PDF
DOC
VIDEOS Making a scatter plot VID
Writing an equation for a trend line VID
Writing an equation for a line of best fit
Using scatter plots and trend lines to make predictions VID
Modeling data using a linear, quadratic, or exponential model VID
Modeling data using a linear, quadratic, or cubic model VID
 
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