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Answers Included!. Questions 8 & 10. Training New Employees. Relax! We already d id all the work for you. 1 st and only edition. Presenter Name Presentation Date. Mitchell P2 8-5 Modelling With Combined Functions. Question 8. . Analyzing the Question. . - PowerPoint PPT Presentation
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TRAINING NEW EMPLOYEES
Presenter NamePresentation Date
Questions 8 & 10
Answers Included!
Mitchell P2 8-5Modelling WithCombined Functions
Relax! We already
did all the work for you.
1st and only edition
Question 8
.
Analyzing the Question
.
Take away irrelevant/unimportant information
Preparing to Graph- Separate each part of skier’s run into
separate instances- Graph each one individually before
combining them all- Make height of hill 60m, as it is the
easiest number to work with
The Graph:
Meaning of the Graph:
Skier is going downhill
Skier riding up chairlift
Skier waiting for chairlift
Algebraic Expressions
- Unfortunately, we don’t know any algebraic expressions that result in such a graph
- Instead, make 3 different equations for each interval!
Algebraic Expressions:
h (𝑡 )=−𝑡+60
h (𝑡 )=.5 𝑥−60.
h (𝑡 )=0
Negative Slope of 1m/s
Hill height is 60m
Constant height of 0
Positive Slope of .5m/s
Crosses t – intercept at 120
Question 10
Analyzing the Question
Requires - Scatter Plot - Graphing
Calculator - Thinking Cap
Scatter Plot- Nothing really to it, just plot the
points on a graph with a reasonable scale and axis titles
Regression
- As you can see, the imaginary curve of best fit does not resemble cubic or linear regressions
- Therefore, comparing logarithmic and quadratic regression would be the best approach here
The Result
Outlier in 1966
N(t) with outlier
N(t) without outlier
- As you can tell from the data, in 1966 there were only 6 hockey teams
- This information functions as an outlier negatively affects the curve of best fit
- Removing the outlier from your data can make a very noticeable impact on regression
Outlier in 1966 Cont’d
N(t) with outlier
N(t) without outlier
NOW, ON TO HOMEWORK!
FT. SAMI