Does this mean that as long as the student has good gpa and good gre even though his Alma Mater's prestige is low - he will get admitted in a college
Any additional things i can interpret from below ?
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Sign up to join this communityDoes this mean that as long as the student has good gpa and good gre even though his Alma Mater's prestige is low - he will get admitted in a college
Any additional things i can interpret from below ?
No. From this correlation matrix you cannot draw the conclusion that
as long as the student has good gpa and good gre even though his Alma Mater's prestige is low - he will get admitted in a college
The reason is that correlation is a measure of association between single pairs of variables. The conclusion you draw above - on the contrary - is based on a combination of three different variables plus the outcome variable.
If you want to get an estimation of the probability that a student will be admitted to college based on her gpa
, gre
and prestige
the right way is to create a logistic regression model. Here's an example in R (provided that admit
is a binary variable, with admit=1
indicating that the student is admitted and admit=0
that she is not admitted)
model <- glm(admit ~.,family=binomial(link='logit'),data=data)
With this fitted model you can then compute the probability that a student is admitted given her particular combination of gpa
, gre
and prestige
.