6 8 y 0.58 1.00 1.73 9.00 15,59 27,00 y 5.1 12.6 15.0 17.0 18.7 20.1 21 3.00 5.20 9.5 a. Make a scatter plot of the data. a. Make a scatter plot of the data. b. Find an exponential function to model...

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Extracted text: 6 8 y 0.58 1.00 1.73 9.00 15,59 27,00 y 5.1 12.6 15.0 17.0 18.7 20.1 21 3.00 5.20 9.5 a. Make a scatter plot of the data. a. Make a scatter plot of the data. b. Find an exponential function to model the data. b. Find a logarithmic function to model the data, c. Find the value of the model at x = 20. c. Find the value of the model at x = 25. 3. 32 34 36 38 40 42 46 11.4 25.6 57.7 129.7 291.9 656.8 1477.9 44 y 5.1 a. Make a scatter plot of the data. b. Linearize the data according to the given model. c. Graph the linearization and write the equation of the line of best fit. d. Use the linear model to find a model for the original data. Check its accuracy by graphing. 4. The data below is for the population of Chicago, Illinois, and Cook County, in millions, from 1910-2000, where x is the number of years since 1900. 10 20 30 40 50 60 70 80 90 100 y 2.41 3.05 3.98 4.06 4.51 5.13 5.49 5.25 5.11 5.38 a. Make a scatter plot of the data. b. Linearize the data according to the given model. c. Graph the linearization and write the equation of the line of best fit. L Use the linear model to find a model for the orignal data. Check its accuracy by graphing. 28 Glenco Chapter 3