Answer: <em>r</em> represents a significant linear correlation.
Step-by-step explanation:
GIven : Linear correlation coefficient: r = 0.543
Sample size: n= 25
Significance levle: 
Degree of freedom : n-2 = 25-2=23
Now, we check <em>r</em> critical value table for value with df = 23 and
.
Critical value = ±0.396 [From <em>r</em> critical value table]
Since r = 0.543 > 0.396, that means there is significant linear correlation.
Hence, <em>r</em> represents a significant linear correlation.
Step 1: Group this into two groups:

When you do that, be sure to group the "–" into the group with the 9 and make sure there's "+" between the groups.
Step 2: Factor out the GCF from both individual groups:

Step 3: Notice both groups have that (h+2)? That's a new GCF between the two groups, so factor that out:

Step 4: That
piece can be factored further, since it's a difference of squares:

Now it's factored.
Answer:
x = 2.4
Step-by-step explanation:
see image for explanation.
Hope it helps