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Unit 7 Linear Modeling Project. Introduction My projects about an estimated number of deaths in each city. I chose this topic because I was interested.

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Presentation on theme: "Unit 7 Linear Modeling Project. Introduction My projects about an estimated number of deaths in each city. I chose this topic because I was interested."— Presentation transcript:

1 Unit 7 Linear Modeling Project

2 Introduction My projects about an estimated number of deaths in each city. I chose this topic because I was interested to see if there was a trend and see what cities came up the highest. The data I found was the population of different cities from the year 2010.

3 Data PopulationDeaths New York City: 8,175,13365,360 Los Angeles: 3,792,62130,322 Chicago: 2,69559821,551 Houston: 2,100,26316,791 Phoenix: 1,445,63211,557 San Antonio: 1,327,40710,612 Jacksonville: 821,7846,570 URL: http://en.Wikipedia.org/wiki/list_of_united_states_cities_by_population

4 Data Explanation The higher the population the higher the deaths. The lower the population the lower the deaths. Number of deaths is never higher than the population. I used the equation x/100,000 · 799.5 to find the estimated amount of deaths of each city. (I got this death rate formula from the CDC website http://www.cdc.gov/nchs/fastats/deaths.htm) http://www.cdc.gov/nchs/fastats/deaths.htm A huge city like New York City has almost ten times the amount of deaths of a smaller city like Jacksonville.

5 Graphs

6 Calculations

7 Prediction & Discussion I predict that if a city that has a population of about 5 million, then that city had about 39,975 deaths in 2010. The x intercept is -72.233125. Which is unrealistic because this would mean that 0 deaths would happen if the population is -72.233125. The population can never be negative. The y intercept is 0.577865. Which is unrealistic because that means that about half a death would happen if the population is 0. If there is no population there can’t be any type of deaths.


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