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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. .
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Answers Included! Questions 8 & 10 Training New Employees Relax! We already 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
Now, on to homework! Ft. Sami