Consider the following.Year17901800181018201830184018501860187018801890190019101920193019401950P(t) =(a) Census data for the United States between 1790 and 1950 are given in the table above. Construct a logistic population model using the data from 1790,1860, and 1920. (Assume that t is years since 1790 and P is population in millions. Round all coefficients to four decimal places.)143.561+ 35.53eYearPopulation (in millions)3.9295.3087.2409.63812.86617.06923.19231.43338.55850.15662.94875.99691.9721820(b) Construct a table comparing actual census population with the population predicted by the model in part (a). Compute the error and the percentage error foreach entry pair.1910-0.0353-t)105.711122.775131.669150.697CensusPopulation(in Millions)9.63891.972Predicted Population(in Millions, rounded to three decimalplaces)9.9899.174XError (rounded to three decimalplaces)-0.3510% Error (rounded to two decimalplaces)-3.640%%

We first standardize the population column by dividing with the maximum population value and then…

Answered: Consider the following. Year 1790 1800…

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