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Flash Forward

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300 5 Grilled Chicken Light 440 20 Grilled Chicken 560 28 Fish Fillet 500 25 Crispy Chicken 590 34 Arch Special with Bacon 550 ... (draw the scatter plot) of a ... – PowerPoint PPT presentation

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Title: Flash Forward


1
Flash Forward
  • When Tuesday June 17, 2008 915AM
  • Where Mahopac High School GYM
  • Occasion NYS Integrated Algebra
  • Situation You just received your test, turned
    on your graphing calculator and realized that
    your brother or sister needed the batteries for
    their PSP over the weekend!!!!!!!!

2
What do you Do?
  1. Jump out of your seat and run screaming from the
    room!!
  2. Start chatting with the other Math teachers to
    see who you want to take math with next year.
  3. Start making plans for some serious payback to
    your sister or brother.
  4. Remember todays lesson that we can do regression
    manually!!!

3
Scatter Plots and Regression Lines Without a
Calculator
4
What is a Line of Best Fit?
  • When data is displayed with a scatter plot, it is
    often useful to attempt to represent that data
    with the equation of a straight line for purposes
    of predicting values that may not be displayed on
    the plot.Such a straight line is called the
    "line of best fit." It may also be called a
    "trend" line.
  • A line of best fit is a straight line that best
    represents the data on a scatter plot.  This
    line may pass through some of the points, none of
    the points, or all of the points.

5
Is there a relationship between the fat grams and
the total calories in fast food?
                          
Sandwich Total Fat (g) Total Calories
Hamburger 9 260
Cheeseburger 13 320
Quarter Pounder 21 420
Quarter Pounder with Cheese 30 530
Big Mac 31 560
Arch Sandwich Special 31 550
Arch Special with Bacon 34 590
Crispy Chicken 25 500
Fish Fillet 28 560
Grilled Chicken 20 440
Grilled Chicken Light 5 300
Can we predict the number of total calories based
upon the total fat grams?
Let's find out! 1.  Prepare a scatter plot of the
data.

6
Is there a relationship between the fat grams and
the total calories in fast food?
Can we predict the number of total calories based
upon the total fat grams?
                          
Let's find out! 2. Using a straight edge,
position it so it is as close to all the points
as possible.

7
Is there a relationship between the fat grams and
the total calories in fast food?
Can we predict the number of total calories based
upon the total fat grams?
  • Find two points that you think will be on the
    "best-fit" line. 
  • Click to see best fit
  • I chose the points (9, 260) and (30, 530).  You
    may choose different points. 
  • Calculate the slope of the line through your two
    points.            


8
Is there a relationship between the fat grams and
the total calories in fast food?
Can we predict the number of total calories based
upon the total fat grams?
  • Write the equation of the line using the slope
    from step 5.
  • Substitute x and y
  • Solve for b.

Final Regression Equation

9
Is there a relationship between the fat grams and
the total calories in fast food?
Can we predict the number of total calories based
upon the total fat grams?
Final Regression Equation
Lets predict how many calories a sandwich would
have if it had 22 grams of fat?
So we would predict that a sandwich with 22 grams
of fat would have 427 calories.

10
A Word About Predictions
  • If you are looking for values that fall within
    the plotted values, you are interpolating.
  • If you are looking for values that fall outside
    the plotted values, you are extrapolating.  Be
    careful when extrapolating.  The further away
    from the plotted values you go, the less reliable
    is your prediction.

11
Lets Practice with This One!
Write the regression equation and predict the
value of the investment 10 years after the
initial purchase.
12
(No Transcript)
13
Practice with Round Robin
  1. Each Student has a colored pencil and a piece of
    graph paper.
  2. Each student does step a (draw the scatter plot)
    of a different problem (windows (1), doors (2)
    other (3) initial their work.
  3. Pass your paper in a clockwise direction
    coaches the person if the work received was
    incorrect, praise when correct.
  4. Each student now completes step b (draw a line of
    best fit) and initials their work.
  5. Pass your paper in a clockwise direction
    coaches the person if the work received was
    incorrect, praise when correct.
  6. Each student now completes step c (determine the
    equation of the line of best fit) and initials
    their work.
  7. Pass your paper in a clockwise direction
    coaches the person if the work received was
    incorrect, praise when correct.
  8. Each student now completes step d and uses the
    prediction equation to estimate an answer and
    initials their work.
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