Answer:
x + y = -6
Step-by-step explanation:
Refer to the attachments...
A common misconception in statistics is confusing correlation with causation. If two events are correlated, it merely means that they share the same behaviour over time, but it doesn't imply in any way that those event are related by a common cause, or even worse, that one implies the other.
You can find several (even humorous) counter examples online. For example, if you plot the number of reported pirates assault against the global temperature in the last years, you'll se that temperature is rising (unfortunately...) while pirates are almost disappearing.
One could observe this strong negative correlation and claim that hotter climate has solved the pirate issue. Of course this is a joke, but it explains why you shouldn't confuse correlation with causation.
A. False. The data is quantitative because we're dealing with numeric values instead of things like names, colors, etc.
B. False. The row categories are "students" and "teachers"
C. True. This value (2) is in the "teachers" row and "does not wear glasses" column.
D. False. The value 32 represents the number of students who wear glasses. See row1, column1
E. True. Look at the last value of the "teachers" row.
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In summary, the answers are: C and E