E = at + b is just like the standard linear equation y = mx + c
(a/m is the gradient, b/c is the y intercept)
There are two ways to do this but the easiest one here is to first find the gradient using the formula:
Method 1
m(the gradient, a in this case) = y-y1/x-x1
Taking any two sets of data (using two as far apart as possible gets the most accurate result, I used the first and the last) from what you've been given you get:
(30.2 - 6)
----------- = 0.03025
(1000 - 200)
That's your gradient (or a), so, right now you have
E = 0.03025t + b
You have E and t values so substitute any one of them in to get b
E = 14.8 t = 500
b = 14.8 - (0.03025 x 500)
= -0.325
To check (use another set of data, I chose t = 900 E should = 26.9):
E = 0.03025 x 900 - 0.325
E = 26.9 (value in data is actually 26.8)
This is not as accurate as using simultaneous equations though (The other method to solve this) which yields exact answers where a = 0.03 and b = 0 shown here:
Method 2
Two unknown variables (a and b) means making two equations using the data you've been given
I used the first and the third:
(t = 200 E = 6, t = 400 E - 12)
6 = 200a + b and
12 = 400a + b
You can eliminate b by rearranging:
b = 6 - 200a and (1)
b = 12 - 400a (2)
so 6 - 200a = 12 - 400a
rearrange (take -400a to left and +6 to the right) to get:
200a = 6
a = 6/200
Substitute that back into one of the equation, say (1)
b = 6 - 200(6/200)
b = 6-6 thus b = 0
You can check this by substituting these values back into the original equation:
E = 0.03(t) + 0 (note 6/200 = 0.03)
Take any value from your data say, t = 700, you get E = 4200/200 + 0
E = 21.0 as shown in your data table.
Hope this makes sense, It's easier than it looks, I just put in all the steps so you could understand.