ganand wrote:
Erjan_S wrote:
During a four-day period, a height measurement and a weight measurement were recorded shortly after delivery for each baby born in a particular hospital. The 19 babies in the study were divided into two groups, Group A and Group B. The chart shows the length, in centimeters (cm), and weight, in kilograms (kg), for each of the 19 babies.
Based on the given information, use the drop-down menus to most accurately complete the following statements.
The correlation between length and weight for the babies in the study is
negligible
strongly positive .
strongly negative
Is there a rule to decide on correlation? What I see here is that two babies with height 47 weigh differently and again at weight 48 and 4 babies with different weights at height 51 where two are much heavier, does not it contradict strong correlation?
Hi
Erjan_S,
To find the correlation, observe the overall trend rather than individual values. You have to oberve the overall direction of the given values. In the given example its clear that height and weight are strongly positively correlated.
Check the following link:
http://www.statisticshowto.com/directio ... sociation/Hope it helps.
Reviving this old thread....my issue with this question is that it's not really that strong. There's a few outliers that any academic would then question the entire dataset and need more data to make a real 'strong' conclusion (the question choices are 'Strong correlation' or none).
So, is the goal of any GMAT IR question to spot correlation to just think like someone who is just barely looking at data, or as a data scientist would? Just trying to figure these kinds of questions out,