Jazmin found a line that shows how her data points are related, and the equation is y = -0.694x + 17.22. The number that tells how well the line fits the data, called the correlation coefficient, is -0.9153. This number is really close to -1, which means that the line fits the data really well. Since the line goes down as x goes up (that's what the negative number means), it shows a strong negative relationship. So, Jazmin can say that using a straight line is a good way to understand her data!
Jazmin used a graphing calculator to graph a given dataset. She found that the trend line of her data is y=−0.694x+17.22
𝑦
=
−
0.694
𝑥
+
17.22
and that the correlation coefficient is −0.9153
−
0.9153
. What conclusion should Jazmin make about the appropriateness of the linear model she found?
(4 points)
make it simple in a paragraph and like a kid wrote it.
1 answer