Training New Employees

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# Training New Employees - PowerPoint PPT Presentation

Answers Included!. Questions 8 &amp; 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. .

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Questions 8 & 10

### Training New Employees

did all the work for you.

1st and only edition

Presenter Name

Presentation Date

Mitchell P2 8-5

Modelling With

Combined Functions

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

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:

Negative Slope of 1m/s

Hill height is 60m

Positive Slope of .5m/s

Crosses t – intercept at 120

Constant height of 0

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

Outlier in 1966

• 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

N(t) without outlier

N(t) with outlier

Outlier in 1966 Cont’d

N(t) without outlier

N(t) with outlier