Mathematics, 19.05.2020 20:16, jarteria0
Need Help). You'll construct and interpret a table, a scatter plot, and a linear model of the data. Choose 12 cities in the United States, each from a different state. Then choose one climate frature and one geographic feature that you think night be associated with each other. You'll study those features for each city you chose. " For instance, if you hypothesize that higher elevation is associated with more or less rainfall, you might choose to study the average elevation of each city along with each city's average annual rainfall. Use the internet to find the data/statistics for each city. Copy the URL for each website you use so that you can document your sources on the Units of Measure slide. Will Mark Brainliest. ( ONLY ANSWER IF YOU CAN HELP ME AND DON'T REWRITE SOMEONE ELSE'S ANSWER DOWN). Make sure you have: 1) weather and geographic data for 12 cities, along with source information. 2) a scatter plot with a discussion of the graph. 3) a scatter plot with a linear model and a discussion of the linear model. 4) the work and explanation for finding the equation for the linear model, along with the final equation. 5) your reflection. ( Units of Measure: Units: 1) Average Elevation: feet. 2) Average Annual Rainfall: inches.
Answers: 2
Mathematics, 21.06.2019 15:00, katie18147
Answer this question only if you know the answer! 30 points and
Answers: 1
Mathematics, 21.06.2019 18:30, myohmyohmy
Nick has box brads. he uses 4 brads for the first project. nick let’s b represent the original number of brads and finds that for the second project, the number of brads he uses is 8 more than half the difference of b and 4. write an expression to represent the number of brads he uses for the second project.
Answers: 3
Mathematics, 21.06.2019 21:20, Boogates7427
Paul’s car is 18 feet long. he is making a model of his car that is 1/6 the actual size. what is the length of the model?
Answers: 1
Need Help). You'll construct and interpret a table, a scatter plot, and a linear model of the data....
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