Basically, the order of an algorithm tells you about how the time taken to solve a problem will change as the problem gets larger.
You can have linear order algorithms (to the power of 1), quadratic order algorithms (to the power of 2), cubic order algorithms (to the power of 3), exponential order algorithms (to the power of n) etc. An example of the effect they have on time taken is this:
Linear order:
If it takes 10 seconds for a linear order algorithm to solve a problem of size 100, how long does it take to solve a problem of size 400?
The increase in n is *4. The increase in t is *4. Therefore, time taken is now 40 seconds.
Quadratic order:
If it takes 10 seconds for a quadratic order algorithm to solve a problem of size 100, how long does it take to solve a problem of size 400?
The increase in n is *4. The increase in t is *42. Therefore, time taken is now 160 seconds.
Cubic order:
If it takes 10 seconds for a cubic order algorithm to solve a problem of size 100, how long does it take to solve a problem of size 400?
The increase in n is *4. The increase in t is *43. Therefore, time taken is now 640 seconds.