# data[].attributes.body
Here, we apply group factorisation.

On the other hand, is there an 'easier' way to simplify this?

Clue: Look for like terms

# data[].attributes.body
Observe: What's the first thing done?

- Grouping of liked terms (to see if we can simplify first)

- Then... Factorise

# data[].attributes.body
Good attempt - the first two terms give a clue

However, something's not quite right in the following line... what's wrong?

# data[].attributes.body
While we are able to draw out the common factor of the first two terms and the next two terms, you notice we can proceed with further factorise the expression further.

# data[].attributes.body
It's an attempt to factorise... but... why the change of sign for "y" and "y square" terms

# data[].attributes.body
The first line was correctly attempted: the common factor for the first two terms, "m" has been identified. In addition, a bracket has been introduced to "n - 1". With this, we are able to identify the common factor "n - 1".

# data[].attributes.body
Let's examine, what's the thinking behind the 2nd line of the working.

Can you identify the misconception/ error behind the working?

# data[].attributes.body
The answer is correct.

But, can you figure out how the terms are organised before arriving at the 1st line of working?