The following data represent the population of a country.An ecologist is interested in building a model that describesthe population.Year, x19001910192019301940195019601970198019902000Population, y76,212,20092,228,500106,021,500123,202,600132,164,600151,325,800179,323,200203,302,000226,542,200248,709,900281,421,900(a) Treating the year as the independent variableand the population as the dependent variable, usea graphing utility to fit a logistic model from thedata.Find the values for a, b and c in a logistic model ofthe form y =C1 + ae-bxa =(Use scientific notation. Round to five decimalplaces as needed.)b=(Round to four decimal places as needed.)C=(Round to one decimal place as needed.)

We will use python code to model population growth over time using a logistic curve. Leveraging the…

The following data represent the population of a country. An ecologist is interested in building a model that describes the population. Year, x 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 2000 Population, y 76,212,200 92,228,500 106,021,500 123,202,600 132,164,600 151,325,800 179,323,200 203,302,000 226,542,200 248,709,900 281,421,900 1 (a) Treating the year as the independent variable and the population as the dependent variable, use a graphing utility to fit a logistic model from the data. Find the values for a, b and c in a logistic model of C the form y = 1 + ae bx a = (Use scientific notation. Round to five decimal places as needed.) b = (Round to four decimal places as needed.) C= (Round to one decimal place as needed.)