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 Spread the seats
 Listen carefully to the instructions
 Answer on your notebook,not graded
 Get your notebook out and write the topics we have
covered so far (keywords only)
 5 min
 Individual/no discussions
 Raise your hand quietly for questions and wait for me
to come
 Stay seated until I ask you to give me back the papers
 WALT : Graded Entry Tickets
 WILF :
 TIB :
 Quiz 4 Tuesday 9th October (Lesson 11 to
Lesson 15 in statistics package)
 Khanacademy skills posted in Google
classroom
 Good review for the quiz
 Don’t miss it, no excuses
 An association beween two numerical
variables can be represented in a scatterplot
 Scatterplots could have patterns : linear or
non linear
 A pattern in a scatterplot could be interpreted
as a correlation and eventually a causation (if
applies)
 Some statistical values that are mindblowing
 Voice level 0
 If you have a question write it down until the
end of the video then ask it
 https://www.youtube.com/watch?v=oGGYIw_
pIj8
 How to model the patterns present in
scatterplots ?
 Non-Linear pattern : described by a curve
 Two types of functions often used in
modeling nonlinear relationships are
quadratic and exponential functions.
 Why do we model relationships betwe”en data
as functions ?
 It allows us to predict
 Predict : Estimate values that are not present
in your data set
 How can a graph be used to make a
prediction?
 Estimate the value from the line or curve
 How can a model(equation) be used to make
a prediction?
 A value can be substituted for a variable in
the model to solve for the other variable.
 Answer on the worksheet handed out per group
• Listen carefully to the instructions
• Take 15 minutes to do the exercises on your own
• Stay focused
• Voice level 1 discussions (no excessive noise)
• Raise your hand quietly for questions and wait for
me to come
 For linear relationships : we use a line to
model the pattern
 I want you to be able to create the equation
for this type of model
 We will learn how to choose the best line of
fit
 What do we mean by line of best fit ?
 Line that best models a linear relationship
(closest to most values)
 What do we mean by residuals ?
 Difference in y values between actual and
predicted values
 What are residuals used for ?
 To determine which line is the best fit
 How do we use residuals ?
 The best fit line has the sum of residuals
close to 0
 Hardcopy is handed out
 Individual work,voice level 0
 I will be going around for help,raise your
hand
 Take 10 minutes to do this
 The line of best fit to a linear relationship is
the one that has the smallest sum of squared
residuals
 min( 𝑟𝑒𝑠𝑖𝑑𝑢𝑎𝑙𝑠
2
)
 Knowing the residuals,we can calculate the
error of prediction
 Small residuals => Good fit => Low error in
prediction
 Big residuals => Bad fit => Big error in
prediction
 Answer on the worksheet handed out per group
• Listen carefully to the instructions
• Take 15 minutes to do the exercises on your own
• Stay focused
• Voice level 1 discussions (no excessive noise)
• Raise your hand quietly for questions and wait for
me to come
Student Warning
1
Warning 2 Demerit
 Do not talk unless you have
permission (Raise your hand)
 No talking back (Come see in end
of class)
 Stay focused and on task
 Respect your classmates and
teacher
 Be prepared
 You are expected to do your homework on the
due date (no excuses)
 Every time you miss a homework you get a
strike,after 3 your parents are informed
 Not doing your homework will negatively affect
your grade in participation and quizzes
 The corrected quiz as well as rubrics will be posted on
Engrade.
 An individual assesment means no discussion at all. Any
talking will result in a 0.
 If you missed a quiz/test, you are responsible to come to
office hours to retake it.
 Come see me right after class or office hours to discuss
your copy, do not bring it up inside class.
 Any copy written in pencil cannot be considered for re-
grading, use a pen.

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5th octoberalg2

  • 2.  Spread the seats  Listen carefully to the instructions  Answer on your notebook,not graded  Get your notebook out and write the topics we have covered so far (keywords only)  5 min  Individual/no discussions  Raise your hand quietly for questions and wait for me to come  Stay seated until I ask you to give me back the papers
  • 3.  WALT : Graded Entry Tickets  WILF :  TIB :
  • 4.  Quiz 4 Tuesday 9th October (Lesson 11 to Lesson 15 in statistics package)
  • 5.  Khanacademy skills posted in Google classroom  Good review for the quiz  Don’t miss it, no excuses
  • 6.  An association beween two numerical variables can be represented in a scatterplot  Scatterplots could have patterns : linear or non linear  A pattern in a scatterplot could be interpreted as a correlation and eventually a causation (if applies)
  • 7.  Some statistical values that are mindblowing  Voice level 0  If you have a question write it down until the end of the video then ask it  https://www.youtube.com/watch?v=oGGYIw_ pIj8
  • 8.  How to model the patterns present in scatterplots ?  Non-Linear pattern : described by a curve  Two types of functions often used in modeling nonlinear relationships are quadratic and exponential functions.
  • 9.
  • 10.
  • 11.  Why do we model relationships betwe”en data as functions ?  It allows us to predict  Predict : Estimate values that are not present in your data set  How can a graph be used to make a prediction?  Estimate the value from the line or curve  How can a model(equation) be used to make a prediction?  A value can be substituted for a variable in the model to solve for the other variable.
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  • 15.  Answer on the worksheet handed out per group • Listen carefully to the instructions • Take 15 minutes to do the exercises on your own • Stay focused • Voice level 1 discussions (no excessive noise) • Raise your hand quietly for questions and wait for me to come
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  • 18.  For linear relationships : we use a line to model the pattern  I want you to be able to create the equation for this type of model  We will learn how to choose the best line of fit
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  • 22.  What do we mean by line of best fit ?  Line that best models a linear relationship (closest to most values)  What do we mean by residuals ?  Difference in y values between actual and predicted values  What are residuals used for ?  To determine which line is the best fit  How do we use residuals ?  The best fit line has the sum of residuals close to 0
  • 23.  Hardcopy is handed out  Individual work,voice level 0  I will be going around for help,raise your hand  Take 10 minutes to do this
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  • 25.  The line of best fit to a linear relationship is the one that has the smallest sum of squared residuals  min( 𝑟𝑒𝑠𝑖𝑑𝑢𝑎𝑙𝑠 2 )
  • 26.  Knowing the residuals,we can calculate the error of prediction  Small residuals => Good fit => Low error in prediction  Big residuals => Bad fit => Big error in prediction
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  • 29.  Answer on the worksheet handed out per group • Listen carefully to the instructions • Take 15 minutes to do the exercises on your own • Stay focused • Voice level 1 discussions (no excessive noise) • Raise your hand quietly for questions and wait for me to come
  • 31.  Do not talk unless you have permission (Raise your hand)  No talking back (Come see in end of class)  Stay focused and on task  Respect your classmates and teacher  Be prepared
  • 32.  You are expected to do your homework on the due date (no excuses)  Every time you miss a homework you get a strike,after 3 your parents are informed  Not doing your homework will negatively affect your grade in participation and quizzes
  • 33.  The corrected quiz as well as rubrics will be posted on Engrade.  An individual assesment means no discussion at all. Any talking will result in a 0.  If you missed a quiz/test, you are responsible to come to office hours to retake it.  Come see me right after class or office hours to discuss your copy, do not bring it up inside class.  Any copy written in pencil cannot be considered for re- grading, use a pen.