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. Thecoefficient of determination was found to be 0.93. Can the historian use this model to predict the city's population in 1990?

Yes since the data has a strong correlation, and 1990 is within the range for an accurate extrapolation.

No since 1990 is not close enough to the know data values. It would be considered an extreme extrapolation value.

Yes since 1990 is an interpolation value.

No since the data is moderately correlated.