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The correlation coefficient (often denoted as "r") quantifies the strength and direction of a linear relationship between two variables. A strong positive correlation (e.g., r = 0.9) indicates that as one variable increases, the other tends to increase as well. For instance, a high correlation between advertising spend and sales confirms their strong linear relationship, observed in the scatter plot. This metric is critical for assessing relationships before performing regression or predictive modeling. Why Other Options Are Wrong : A) Standard deviation measures variability, not relationships. C) Mean difference compares group averages, not correlations. D) P-value tests hypotheses but doesn’t quantify relationships. E) Variance measures the spread within a single variable, not between two.
Statements:All gems are stones.
Some stones are diamonds.
Some diamonds are jewelry.
Some jewelry are pearls.
Conclusions:I....
Statement:
Few Doors are not window.
All windows are table.
Only a few tables are chair.
Conclusion:
I. All do...
Statement:
At-least some J are K.
Only L are K.
Only M are J.
Few M are N.
Conclusion :
1. Some M are L.
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All lines are modems.
Conclusions: I. Some modem...
Statements:
All dogs are cats.
Some cats are birds.
Some birds are crows.
Conclusions:
I. Some dogs being crows is a ...
Statements-
1.All bulbs are tubes.
2.Some tubes are knives.
3.All knives are frames.
4.Some frames are bulbs.
Conclus...
Statements:
Only Doctor are Pilots
Some Doctor are not Lawyer
100% Lawyer are Teacher
Conclusions:
I. Some Lawyer are...
Statements: Some giraffe are zebra.
All zebra are kangaroo.
Conclusions: I. Some gir...
Which of the following box was placed at a gap of two boxes from 5 star chocolate box?
Statements:All males are females.
All females are men.
No man is a woman.
All women are ...