AP Statistics – Chapter 12 More About Regression
Day
Topics
Objectives: Students will be able to…
Homework
I can identify explanatory and response
variables in situations where one variable
helps to explain or influences the other.
 I can make a scatterplot to display the
relationship between two quantitative
variables.
 I can describe the direction, form, and strength
of the overall pattern of a scatterplot.
 I can use technology to perform least-squares
regression to determine a LSRL to be used to
model linearity for a scatter plot.
 I can understand and know the basic
properties of correlation.
 I can calculate and interpret correlation in
context.
 I can interpret the slope and y intercept of a
least-squares regression line in context.
 I can use r2 to assess how well the line fits the
data.
 I can interpret the standard deviation of the
residuals and r2 in context.
 I can construct and interpret residual plots to
assess if a linear model is appropriate.
HOMEWORK:
Complete
Worksheet
(DUE the next
class session,
NOT in
folder!!)

1
AP EXAM REVIEW:
 Activity: Arms & Legs
Measurements
 Review of Chapter 3 Skills
(Pre-requisite skills for
Chapter 12)
2
AP EXAM REVIEW:
 Practice Multiple Choice
Questions
 Roller Coaster Problem
 1998 AP Exam Free
Response Question: Weed
Killer
3
4
Section 12.1:
o The Sampling
Distribution of b,
o Conditions for
Regression Inference
Section 12.1
o Estimating Parameters,
o Constructing a
Confidence Interval for
the Slope,
o Technology: Regression
Inference using
Computer Software and
Calculators




(See standards from Day #1)
Textbook
Problems:
p.202-203
(T3.12 &
T.3.13)
I can check conditions for performing
inference about the slope 𝜷 of the
population regression line.
Reading;
p. 738-744
STRIVE:
p. 223-225
Textbook
Problems:
1, 3
I can interpret computer output from a
least-squares regression analysis.
I can construct and interpret a confidence
interval for the slope 𝜷 of the population
regression line.
Reading:
p.744-750
STRIVE:
p. 225-226
Textbook
Problems:
5, 7, 9, 11
1
5
Section 12.1
o Performing a
Significance Test for the
Slope
6
Section 12.2
o Transforming with
Powers and Roots,
o VIDEO PRESENTATION:
TED talks
o Technology:
Transforming to
Achieve Linearity on the
Calculator

I can perform a significance test about the
slope 𝜷 of a population regression line.

I can use transformations involving
powers and roots to achieve linearity for a
relationship between two variables.
I can make predictions from a leastsquares regression line involving
transformed data.
Reading:
pp. 765-771
STRIVE:
p. 228-229
Textbook
Problems:
33, 35
I can use transformations involving
logarithms to achieve linearity for a
relationship between two variables.
I can make predictions from a leastsquares regression line involving
transformed data.
I can determine which of several
transformations does a better job of
producing a linear relationship.
Reading:
p. 771-785
STRIVE:
p. 229-230
Textbook
Problems:
37, 39, 41


7
Section 12.2
o Transforming with
Logarithms



8
Chapter 12 Review
9
Chapter 12 Test
10
Activity: The Helicopter
Experiment
Reading:
pp. 751-758
STRIVE:
p. 226-227
Textbook
Problems:
13, 15, 17, 19
Summary of all ‘I can’ statements and
concepts
 All HW problems should be finished prior
to test; Strive Book Chapter 11 should be
completed prior to test
STRIVE:
p. 231-240
Textbook
Problems:
21-26; 45-48
HOMEWORK:
Build
Helicopter
(for next class
session)
2