In 1975, a historian collected the population data for a major city from 1950 until 1975. They recorded their data using a scatterplot, with the origin representing 1950. Several years later, population data dating back to 1925 was discovered. This newly discovered data was added to the historian's scatterplot, and new points were marked before the origin. The data was modeled with the logistic function f(t), showing the population, in thousands, from 1925 to 1975. The coefficient of determination was found to be 0.93. Can the historian use this model to predict the city's population in 1990