Step 1. Comparing row 1 ($[x]=0.2,[y]=0.02$, rate $=0.15$) and row 2 ($[x]=0.4,[y]=0.02$, rate $=0.30$): $[x]$ doubles, $[y]$ fixed, rate doubles $\Rightarrow$ order in x $=1$ (since $2^1=2$).

Step 2. Comparing row 2 ($[x]=0.4,[y]=0.02$, rate $=0.30$) and row 3 ($[x]=0.4,[y]=0.08$, rate $=1.20$): $[x]$ fixed, $[y]$ quadruples (0.02$\rightarrow$0.08), rate quadruples (0.30$\rightarrow$1.20) $\Rightarrow$ order in y $=1$ (since $4^1=4$).

Step 3. So $\text{rate}=k[x]^1[y]^1=k[x][y]$, overall order 2. …

Compare pairs of data rows where only one concentration changes at a time to isolate each order, then substitute back into any …

• Comparing rows 1 and 3 directly (where BOTH [x] and [y] differ) to try to isolate a single order, instead of picking the pair …