Answer:
Step-by-step explanation:
This problem seems to go much beyond what you have taken before. If you have a graphing calculator (like the TI-83 or TI-84) you can teach it to do what is necessary to turn this into a ln (log base e) regression. The steps are far too numerous to give you here and the manual that came with the TI models are of no use whatever.
What to do?
There are two solutions to the problem. You can follow the directions (which are really excellent -- you just have to be patient and pause and rewind many times) to use a video found by googling ln regression.
Or you can go down to regression tools when you have searched through ln regression calculators on google.
In any event, the answer you get is
y = a + b ln(x)
a = - 76.20
b = 37.67
when you put the original points into the regression log formula, you find that you are off just slightly as you go down your table, but no more than a point and 1/2 for any of x entries which solve for y.
For example
y = - 76.20 + (37.67)*ln 9 gives
y = - 76.20 + 81.29
y = 6.5694 which given that this is stats is pretty close. Since stats is anything but my strong point, that's as much as I can give you.
