# Correlation - Online Test

Q1. Following are the elements of correlation except
Explaination / Solution:

It is not necessary that there must be a curvilinear relation among variables,it can be linear or non linear correlation.

Q2. Two variables are said to be positively correlated when with _____ in the value of one variable, the value of other variable also _____
Explaination / Solution:

Positive correlation implies that both the variables will move in the same direction, either both will rise or both will fall.

Q3. If with the fall in the value of one variable the value of another variable rises in the same proportion then it is said to be
Explaination / Solution:

Because both the variables are moving in different directions.

Q4. If the coefficient correlation exactly equals to -1 then it will be effect
Explaination / Solution:

Because a negative value of correlation indicates an inverse relation.

Q5. When the correlation is only studied between two variables it is called
Explaination / Solution:

Because it is very easy and simple to calculate correlation between two variables.

Q6. Multiple correlation is
Explaination / Solution:

Because here we have to go to calculate correlation twice or thrice, with different variables.

Q7. If the ratio of change between the two variables is a constant then there will be
Explaination / Solution:

Because due to this constant change, the data form a straight line on graph paper.

Q8. Correlation coefficient is denoted by
Explaination / Solution:

"r" denotes Karl Pearson's coefficient of correlation.

Q9. Who was a great biometrician and statistician?
Explaination / Solution:

Karl Pearson was an influential biometrition and statistician who has been credited with establishing the discipline of mathematical statistics.

Q10. When r = 1, there is perfect
Explaination / Solution:

As 1 shows perfect relation between two variables and the + sign shows positive relation