Test: Correlation And Regression- 7 - CA Foundation MCQ

The regression equation of Blood Pressure on age 

The regression equation of age on Blood Pressure

 Both (a) and (b)

Either (a) or (b) 

0.01

0.625

0.4

0.5

Error

 Residue

Deviation

(a) or (b)

Least squares

Concurrent deviation

Product moment

Normal equation

Positive

Negative

Zero

All these

0

1

-1

Negative

The product of standard deviations of the two variables to the covariance between them

The covariance between the variables to the product of the variances of them

The covariance between the variables to the product of their standard deviations

Either (b) or (c) 

On a straight line directed from lower left to upper right

On a straight line directed from upper left to upper right

On a straight line

Both (a) and (b)

Scatter diagram

Method of concurrent deviation

Method of rank correlation

Method of product moment correlation

From lower left corner to upper right corner

From lower left corner to lower right corner

From lower right corner to upper right corner

From lower right corner to lower right corner

Any value

Only 1

Only -1

(b) or (c)

Can have any unit

Is expressed as the product of units of the two variables

Is a unit free measure

None of these

Pearson

Scatter diagram

Spearman

Coefficient of concurrent deviations

y=a + bx 

y = a+bx, b>0 

y = a + bx, b<0 

y = a+bx, both a and b being positive 

Scatter diagram

Coefficient of rank correlation

Coefficient of correlation

Coefficient of concurrent deviation.

Rank correlation coefficient 

Product moment correlation coefficient 

Coefficient of concurrent deviation

(a) Or (b) but not (c)

Strictly positive

Strictly negative

Always 0

Either positive or negative or zero

No limit

-1 and 1 

0 and 1, including the limits

-1 and 1, including the limits

No limit

Between -1 and 0, including the limiting values

Between 0 and 1, including the limiting values

Between -1 and 1, the limiting values inclusive

Finding the nature of correlation

Finding the amount of correlation

Both (a) and (b)

Either (a) and (b)

It is a bad relation between two variables

It is very low correlation between two variables

It is the correlation between two variables having no causal relation

It is a negative correlation

Linear relationship between two variables

Curvilinear relationship between two variables

 Neither (a) nor (b)

Both (a) and (b)

Negative

Zero

Positive

None of these.

Establishing a mathematical relationship between two variables

Measuring the extent of association between two variables

Predicting the value of the dependent variable for a given value of the independent variable

Both (a) and (c)

Predicting one variable for a given value of the other variable

Establishing relation between two variables

Measuring the extent of relation between two variables

Both (b) and (c)

p

p+q 

q

pq

Positive

Zero

Negative

None of these

Zero

Positive

Negative

None of these

Negative

Zero

a or b

None of these

p

p+q 

1

2