1). The years are already coded that way in the table.
2). Draw the graph. It'll have 30 points on it.
The first point is (1, 51.30) .
The second point is (2, 53.32) .
The third point is (3, 53.33) .
etc.
For each point, 'x' is the code of the year,
and 'y' is the Avg Temp of that year.
3). The points don't all exactly fall on a straight line.
You must have learned how to find the "best fit" line.
I used to do a lot of that, but I don't remember the details.
If you crank all 30 points through the linear regression process,
you get the slope and the y-intercept of the line that fits the data best.
That's what #3 is asking for. The first blank is the y-intercept of it,
the second blank is the slope of it.
4). 1997 is code-13. Plug '13' into your regression equation (#3)
and see what temperature pops out.
5). From the table, the actual for 1997 was 52.20 .
