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Revenue Forecasting The following information is a summary of population and revenue data for a hypothetical city during the years 2012-2021. Refer to the requirements

Revenue Forecasting

The following information is a summary of population and revenue data for a hypothetical city during the years 2012-2021. Refer to the requirements below:

Revenue per
Population Revenues Capita ($) Year
325,476 368,944,715 1,134 2012
331,718 355,602,912 1,072 2013
339,217 381,910,223 1,126 2014
343,980 396,901,834 1,154 2015
352,171 399,473,605 1,134 2016
357,669 374,671,935 1,048 2017
363,199 394,637,622 1,087 2018
367,244 409,733,642 1,116 2019
371,929 416,732,011 1,120 2020
372,783 412,541,871 1,107 2021
Average 1,110

Requirement One:

Run a correlation analysis on this data set and determine the correlation coefficient between the city's population and revenues.

Requirement Two:

Calculate the revenue per capita for each year and the average revenue per capita over the ten year period for the the city.

Requirement Three:

If the city desires to have 445,000,000 in the next year what is the estimated number of new residents needed to achieve this goal?

Residents

If the city desires to have 430,000,000 in the next year what is the estimated number of new residents needed to achieve this goal?

Residents

If the city desires to have 420,000,000 in the next year what is the estimated number of new residents needed to achieve this goal?

Residents

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