The <u>correct answer</u> is:
0.872.
Explanation:
The correlation coefficient of a regression line is a measure of how closely the line fits our data. Negative correlation coefficients represent decreasing lines; positive correlation coefficients represent increasing lines.
The closer a correlation coefficient is to +1 or -1, the better the fit; a perfect positive fit is r=1 and a perfect negative fit is r=-1.
We can see in the graph that the line is very close to our data, so it is a pretty good fit.
The line is increasing; this means we want a correlation coefficient that is close to 1.
The best choice is 0.872.
Answer:
ok, this is what i mean. if you dont unerstand then stop it yes ok,ay hanks you
Step-by-step explanation:
Answer:
I love Math anyways
the ans is in the picture with the steps
(hope it helps can i plz have brainlist :D hehe)
Step-by-step explanation:
It is the first one because you can use the vertical line test to see that it doesn’t hit more than one point per x-value
2. m<-1.5
3. 11≥x
4. x≥1
5. x≥2
