The equation of the line of best fit is \(\displaystyle{y}={\left({9.83}\right)}{\left({1.29}\right)}^{{x}}\) using exponential regression.

Question

asked 2021-05-13

The population of Williston, North Dakota, has grown rapidly over the past decade due to an oil boom. The table gives the population of the town in 2007, 2009, and 2011.
Years Since 20007811 Population (thousands)12.413.016.0

Use your calculator to find an exponential equation that models the growth of the town.

Use your calculator to find an exponential equation that models the growth of the town.

asked 2021-06-09

The table shows the total number of bacteria in a sample over five hours.

HourNumber of Bacteria 112 2144 31728 420,736 5248,832

Use your calculator to find an exponential equation that models the bacteria data.

HourNumber of Bacteria 112 2144 31728 420,736 5248,832

Use your calculator to find an exponential equation that models the bacteria data.

asked 2021-06-04

The table shows the number of blogs, in millions, in existence every six months.

Mountib 1___7____13____19___25___31

Bolys 0,7__2_____4_____8___16___31

â€‹Using the calculator exponential regression tool, find a function that models the data.

Mountib 1___7____13____19___25___31

Bolys 0,7__2_____4_____8___16___31

â€‹Using the calculator exponential regression tool, find a function that models the data.

asked 2021-06-02

The table shows the populations P (in millions) of the United States from 1960 to 2000.
Year 1960 1970 1980 1990 2000 Popupation, P 181 205 228 250 282

(a) Use the 1960 and 1970 data to find an exponential model P1 for the data. Let t=0 represent 1960. (c) Use a graphing utility to plot the data and graph models P1 and P2 in the same viewing window. Compare the actual data with the predictions. Which model better fits the data? (d) Estimate when the population will be 320 million.

(a) Use the 1960 and 1970 data to find an exponential model P1 for the data. Let t=0 represent 1960. (c) Use a graphing utility to plot the data and graph models P1 and P2 in the same viewing window. Compare the actual data with the predictions. Which model better fits the data? (d) Estimate when the population will be 320 million.