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Mathematics 21 Online
OpenStudy (sarahlitts):

Please help!! Will become fan!! The rest of the question is in the comments <3 Cabs use a valuable commodity—gas! Research average gas prices from 2005– 2015 for the city you chose. If you can't find this information for your specific city, you can research national gas price averages instead. a. Create a table showing the average gas price each year. b. Create a scatter plot of the data in your table. 2 c. What equation models the data? What are the domain and range of the equation? Do you think your equation is a good fit for

OpenStudy (sarahlitts):

Cabs use a valuable commodity—gas! Research average gas prices from 2005– 2015 for the city you chose. If you can't find this information for your specific city, you can research national gas price averages instead. a. Create a table showing the average gas price each year. b. Create a scatter plot of the data in your table. 2 c. What equation models the data? What are the domain and range of the equation? Do you think your equation is a good fit for the data? Explain how you determined your answers. d. Is there a trend in the data? Does there seem to be a positive correlation, a negative correlation, or neither? How much do you expect gas to cost in 2020? Explain.

OpenStudy (anonymous):

a lot.

OpenStudy (koikkara):

|dw:1448777497127:dw| a) Look at this figure, from your question you have to make a table just like this. b) to make a scatter plot > click > http://www.virtualnerd.com/pre-algebra/linear-functions-graphing/scatter-plot-best-fit-lines/scatter-plots-predictions/scatter-plot-example |dw:1448777715026:dw| ---- Learn from it and draw a scatter plot. c) lets take an example: here population data shows, |dw:1448777793409:dw| now, just Write each population in scientific notation. Isn't it so simple ? d) Trend of data depends on the graph you obtain, ref: http://www.regentsprep.org/regents/math/algebra/AD4/scatter.htm ` By 2020 gas will cost a lot if non renewable sources(re-usable) like petrol, diesel don't exist. @SarahLitts

OpenStudy (sarahlitts):

oh my god thank you so much!! @Koikkara

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