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Dream Car Project

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by

Ismael Rosado, Jr.

on 24 November 2014

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Transcript of Dream Car Project

1. Car Name and Options chosen (10)
sDrive35is Roadster 2D/None
2. Table- will need to be 3 columns actual year, years since and price. (10)

4. Linear Model – must be in slope intercept form. (10)
5. Slope – describe using a complete sentence. (5)
The slope is decreasing from left to right or from negative infinity to positive infinity.
6. Y-intercept - describe using a complete sentence. (5)
The y-intercept is equal to 9.4968702626.
7. Photograph - make and model of vehicle. (5)

8. Predict what year of car you could purchase with only $5,000, and
use a complete sentence. (9)
In my example that would be the 2003 model, if it existed.
F(9)=-4680.7*(9)+44452--> Which would cost approximately $2325.70
9. Domain and Range of linear model (an inequality). (8)
10. Domain and Range of your data from least to greatest. (8)

1. Go to Kelley Blue Book at
www.kbb.com.


Find the Explore Vehicles section at bottom of page.

Click on the Used Cars button and select by make. (i.e. Honda, Toyota, Ford, etc.)

You will be prompted to enter a zip code, enter the school’s zip code 00841 and save.

(I would recommend using a zip code like 90210, Beverly Hills)

Dream Car Project
Project Outline
You will research online used car values to find the value of the same car over a range of 6 years
Pick your favorite car, or maybe a dream car you would like to own someday
Make sure you pick a car that has been around for 6 years
With the car value data you collect, you will be creating a graph and writing a linear equation in slope intercept form that represents the car’s value
PART 1-GATHERING YOUR DATA ONLINE (20 points)
PART 2-CREATING A TABLE, GRAPH AND WRITING AN EQUATION
Once you have collected 6 years of car value data, you will create a table, graph, and write an equation that represents your car values. These will be included on your final document.


PART 3 – FINAL DOCUMENT WILL INCLUDE
Rubric
Directions
2. Next Select a Category (i.e. SUV, sedan, van) and then Select a Model. Now you will start selecting specific years.
For each year you research, you will complete the following steps 3-7. Be consistent in the options you choose for each car year. You will collect 6 years worth of car value data. We suggest you start with 2012 and collect years down to 2007.

3. Now Select a Year to find your first car value.

4. There may be several styles for your dream car, so Choose a style (i.e. DX, LX, EX, etc.)
Remember to choose the same style every year.
5. The next page is the
“pimp my ride”
page.
Here you may add options to your dream car.

Select the options you want to add and write down them down to use on the future years.

You may select the price without added options button and take the default options included already on the car.
6. On the next page, you will Select a Price Type.
You will choose Suggested Retail.
7. Next select get used car price.
The value of the car will be shown.
You will need to record the year and car value as a data point on your table and graph.
Now repeat steps 3 -7 to collect 5 more years of data.

1. Complete the table and the graph using MS Excel.

2. Draw in a line of best fit or use Excel to model the points on your graph

3. Format chart, using Trendline options to display equation and R^2 value on the chart. Or use your graphing calculator, type your data into STAT and perform a linear regression.
3. Graph- including scatter plot and trend line. (20)
• Title (4)
• Axes labeled (use a description, not just x and y) (4)
• Appropriate scales (4)
• Scatterplot (4)
• Line of best fit (4)

Final Document Details Continued
Standards Covered
NCTM standard A1: Understand patterns, relations, and functions.
References
Algebra II Dream Car Project. (2007). Retrieved from http://www.sgmhs.org/ourpages/auto/2013/9/30/51177403/Alg2_Dream%20Car%20Project.pdf
CSCU Math Frameworks. (May 2014). Retrieved from http://www.cssu.org/cms/lib5/VT01000775/Centricity/Domain/32/CSSUMathCurricMay04.pdf
Kelly Blue Book. (1995-2014). Retrieved From http://www.kbb.com/bmw/z4/2012-bmw-z4/sdrive35is-roadster-2d/?condition=excellent&vehicleid=373521&intent=buy-used&category=convertible&pricetype=retail
Ismael Rosado, Jr.
EDU 250
11/26/14

References
Algebra II Dream Car. (2012). Retrieved from http://www.sgmhs.org/ourpages/auto/2013/9/30/51177403/Alg2_Dream%20Car%20Project.pdf
CSSU Curriculum Frameworks. (May 2004). Retrieved from http://www.cssu.org/cms/lib5/VT01000775/Centricity/Domain/32/CSSUMathCurricMay04.pdf
Kelley Blue Book Co. (1995-2014). Retrieved from http://www.kbb.com/bmw/z4/2009-bmw-z4/30i-roadster-2d/?condition=excellent&vehicleid=226311&intent=buy-used&category=convertible&pricetype=retail
Questions?
Summarize, represent, and interpret data on a single count or measurement variable

CCSS.Math.Content.HSS-ID.A.1 Represent data with plots on the real number line (dot plots, histograms, and box plots).
CCSS.Math.Content.HSS-ID.A.2 Use statistics appropriate to the shape of the data distribution to compare center (median, mean) and spread (interquartile range, standard deviation) of two or more different data sets.
CCSS.Math.Content.HSS-ID.A.3 Interpret differences in shape, center, and spread in the context of the data sets, accounting for possible effects of extreme data points (outliers).
CCSS.Math.Content.HSS-ID.A.4 Use the mean and standard deviation of a data set to fit it to a normal distribution and to estimate population percentages. Recognize that there are data sets for which such a procedure is not appropriate. Use calculators, spreadsheets, and tables to estimate areas under the normal curve.
Summarize, represent, and interpret data on two categorical and quantitative variables

CCSS.Math.Content.HSS-ID.B.5 Summarize categorical data for two categories in two-way frequency tables. Interpret relative frequencies in the context of the data (including joint, marginal, and conditional relative frequencies). Recognize possible associations and trends in the data.
CCSS.Math.Content.HSS-ID.B.6 Represent data on two quantitative variables on a scatter plot, and describe how the variables are related.
CCSS.Math.Content.HSS-ID.B.6a Fit a function to the data; use functions fitted to data to solve problems in the context of the data. Use given functions or choose a function suggested by the context. Emphasize linear, quadratic, and exponential models.
CCSS.Math.Content.HSS-ID.B.6b Informally assess the fit of a function by plotting and analyzing residuals.
CCSS.Math.Content.HSS-ID.B.6c Fit a linear function for a scatter plot that suggests a linear association.
Interpret linear models

CCSS.Math.Content.HSS-ID.C.7 Interpret the slope (rate of change) and the intercept (constant term) of a linear model in the context of the data.
CCSS.Math.Content.HSS-ID.C.8 Compute (using technology) and interpret the correlation coefficient of a linear fit.
CCSS.Math.Content.HSS-ID.C.9 Distinguish between correlation and causation.
Common Core Standards
Student Background
Algebra 2
Functions
Plotting Functions
Making Inferences
Interpreting Data
Standards Addressed
CCSS.Math.Content.HSS-IC.A.1CCSS.Math.Content.HSS-IC.A.2CCSS.Math.Content.HSS-IC.B.3CCSS.Math.Content.HSS-IC.B.4CCSS.Math.Content.HSS-IC.B.5CCSS.Math.Content.HSS-IC.B.6
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