Bank of America General Electric Goldman Sachs Wells Company AT&T Verizon Fargo Time to Maturity (years) 10 10 3 8 7 Annual Rate (%) 2.40 5.00 4.25 5.15 4.15 4.50 If the General Electric bonds you purchased had paid you a total of $6,510 at maturity, how much did you originally invest? (Round your answer to the nearest dollar.)

-13 -12 -11 -10 -9 -8 -4 -3 -2 - 10 %24

3. 1,-6, 36,-216, .. a. = (-6)" geometric, a =-7776, a. %3D 1296, a, = (-6)"-1 , = (-6)"- b. geometric, a, n-1 С. arithmetic, a , =-7776, a %3D d. arithmetic, a, = 1296, a, = (-6)"

The numbers below show salmon population’s decrease since 1960. salmon = {{0, 10.02}, {5, 10.00}, {10, 7.61}, {15, 3.15}, {20, 4.59}, {25, 3.11}, {30, 2.22}}; TableForm[salmon, TableHeadings → {None, {"Years (after 1960)", "Salmon (mil)"}}] Years (after 1960) Salmon (mil) 0 10.02 5 10. 10 7.61 15 3.15 20 4.59 25 3.11 30 2.22 Pair like (10,7.61) shows there were 7.61 million salmon in 1970. Why 1970? Because t (the number in the left column) is number of years after 1960. A pair like (10, 7.61) is called a data-point. Because it shows some data (information), and geometrically it is a point (it has two numbers). A row in our table gives us a data-point. S1. Plot the data = create a scattergram.S2. Show the graph of a line that comes close to the points in your scattegram.The line might also be known as Best fit line, Regression Line, or Least-squares regression line.S3. Find the equation of a linear function connecting S, salmon population (in millions), with t, yearssince 1960.It is OK…