Test: Correlation And Regression- 1 - CA Foundation MCQ

Two variables

More than two variables

Two variables at the same point of time

Two variables at different points of time.

p

p + q

q

pq

Negative

Zero

a or b

Non of these

p

p + q

1

2

p

p + q

pq

p or q

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).

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).

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).

Positive

Zero

Negative

None of these.

Zero

Negative

Positive

(a) or (b).

Perfect positive

Perfect negative

Both (a) and (b)

Either (a) or (b).

Zero

Positive

Negative

None of these.

Positive

Negative

Zero

None of these

Find the nature correlation between two variables

Compute the extent of correlation between two variables

Obtain the mathematical relationship between two variables

Both (a) and (c)

Correlation for any type of relation

Correlation for linear relation only

Correlation for curvilinear relation only

Both (b) and (c)

Finding the nature of correlation

Finding the amount of correlation

Both (a) and (b)

Either (a) and (b)

From lower left corner to upper right corner

From lower left corner to lower right corner

From lower right corner to upper left corner

From lower right corner to upper right corner

Correlation

Regression

Residual

Slope

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)

Strictly positive

Strictly negative

Always 0

Either positive or negative or zero

Can have any unit.

Is expressed as the product of units of the two variables

Is a unit free measure

None of these

No limit

–1 and 1

0 and 1, including the limits

–1 and 1, including the limits

y = a + bx

y = a + bx, b > 0

y = a + bx, b < 0

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

0

1

– 1

negative

Pearson’s correlation coefficient

Scatter diagram

Spearman’s rank correlation coefficient

Coefficient of concurrent deviations

Scatter diagram

Coefficient of rank correlation

Coefficient of correlation

Coefficient of concurrent deviation

Any value

Only 1

Only –1

(b) or (c)

Rank correlation coefficient

Product moment correlation coefficient

Coefficient of concurrent deviation

(a) or (b) but not (c)

Scatter diagram

Method of concurrent deviation

Method of rank correlation

Method of product moment correlation