NEED ALL ANSWERS PARTS VI THROUGH G WRITE NEATLY PLEASE

Page 2 of 3 ZOOM + Press Esc to exit full screen (2) a. Copy the population numbers could each five years, as shown in the data base, for the years from 1955 to 2005. Add a column, t, measuring years since 1950 YEAR 7 POPULATION 1955 5 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 Page 3 of 3 ZOOM + (2) vi. Use the model to predict the population size in the year you were born. Also, use the model to predict the population size in the year 2015. e. Next fit an exponential model to your population data. (2) i. Write the equation of the exponential regression and superimpose its graph on your scatterplot. (2) ii. How well does the exponential model fit your data? By looking at the graphs, does it appear that the exponential model fits better than the linear model? f. Next fit a power function to your population data. (2) i. Write the equation of the power regression and superimpose its graph on your scatterplot. (2) ii. How well does the power model fit your data? By looking at the graphs, which of the three models seems to fit the best? (5) g. Find the linear correlation coefficient for each model and compare them to determine which model fits the data best. Page 2 of 3 ZOOM + Press Esc to exit full screen (2) a. Copy the population numbers could each five years, as shown in the data base, for the years from 1955 to 2005. Add a column, t, measuring years since 1950 YEAR 7 POPULATION 1955 5 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 Page 3 of 3 ZOOM + (2) vi. Use the model to predict the population size in the year you were born. Also, use the model to predict the population size in the year 2015. e. Next fit an exponential model to your population data. (2) i. Write the equation of the exponential regression and superimpose its graph on your scatterplot. (2) ii. How well does the exponential model fit your data? By looking at the graphs, does it appear that the exponential model fits better than the linear model? f. Next fit a power function to your population data. (2) i. Write the equation of the power regression and superimpose its graph on your scatterplot. (2) ii. How well does the power model fit your data? By looking at the graphs, which of the three models seems to fit the best? (5) g. Find the linear correlation coefficient for each model and compare them to determine which model fits the data best