The table to the right gives the gross domestic product (the value of all Full data set goods and services, in billions of dollars) of a certain country for selected years from 1940 to 2003. a. Create a scatter plot of the data, with y representing the GDP in billions of dollars and x representing the number of years after 1940 . b. Find the linear function that best fits the data, with x equal to the number of years after 1940. c. Graph the model with the scatter plot to see if the line is a good fit for the data. The table to the right gives the gross domestic product (the value of a" goods and services, in billions of dollars) of a certain country for selected years from 1940 to 2003. a. Create a scatter plot of the data, with y representing the GDP in billions of dollars and x representing the number of years after 1940. b. Find the linear function that best fits the data, with x equal to the number of years after 1940. c. Graph the model with the scatter plot to see if the line is a good fit for the data. The table to the right gives the gross domestic product (the value of all Full data set goods and services, in billions of dollars) of a certain country for selected years from 1940 to 2003. a. Create a scatter plot of the data, with y representing the GDP in billions of dollars and x representing the number of years after 1940 . b. Find the linear function that best fits the data, with x equal to the number of years after 1940. c. Graph the model with the scatter plot to see if the line is a good fit for the data. The table to the right gives the gross domestic product (the value of a" goods and services, in billions of dollars) of a certain country for selected years from 1940 to 2003. a. Create a scatter plot of the data, with y representing the GDP in billions of dollars and x representing the number of years after 1940. b. Find the linear function that best fits the data, with x equal to the number of years after 1940. c. Graph the model with the scatter plot to see if the line is a good fit for the data