bo = _ The final equation is : * ( t ) = ( exact answer ) ( decimal ) Of course , graph it to see how it fits the scatterplot . If it doesn't fit fairly well , find your mistake ! 4 . To find a better fitting model , we will let the calculator find the logistic function that best fits all of our data points . Using the regression capabilities of the calculator , find the logistic function ( B : Logistic ) , that best fits the data . Round a and c to the nearest whole number , and the value of 1 to 4 decimal places . Notes : 1 . The value of c in the logistic regression equation may not be the" real value " of c , but it should be close ! 2 . The values of a and bo may not be close to the values we found , because , remember , we only used two data values to find our equation . The regression equation is using all data points . The regression equation is : > ( t ) =