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Test: Correlation And Regression- 4 - CA Foundation MCQ


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30 Questions MCQ Test Quantitative Aptitude for CA Foundation - Test: Correlation And Regression- 4

Test: Correlation And Regression- 4 for CA Foundation 2024 is part of Quantitative Aptitude for CA Foundation preparation. The Test: Correlation And Regression- 4 questions and answers have been prepared according to the CA Foundation exam syllabus.The Test: Correlation And Regression- 4 MCQs are made for CA Foundation 2024 Exam. Find important definitions, questions, notes, meanings, examples, exercises, MCQs and online tests for Test: Correlation And Regression- 4 below.
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Test: Correlation And Regression- 4 - Question 1

(Direction 1 - 5) Write down the correct answers. Each question carries 5 marks.

Q. For y = 25, what is the estimated value of x, from the following data:

Test: Correlation And Regression- 4 - Question 2

Given the following data:

 

Q. What is the most likely value of y when x = 90 ?

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Test: Correlation And Regression- 4 - Question 3

The two lines of regression are given by

8x + 10y = 25 and 16x + 5y = 12 respectively.

 

Q. If the variance of x is 25, what is the standard deviation of y?

Test: Correlation And Regression- 4 - Question 4

Given below the information about the capital employed and profit earned by a company over the last twenty five years:

 

Q. Correlation Coefficient between capital and profit = 0.92. The sum of the Regression coefficients for the above data would be:

Test: Correlation And Regression- 4 - Question 5

The coefficient of correlation between cost of advertisement and sales of a product on the basis of the following data:

Test: Correlation And Regression- 4 - Question 6

–—————— is concerned with the measurement of the “strength of association” between variables.

Test: Correlation And Regression- 4 - Question 7

—————— gives the mathematical relationship of the variables.

Test: Correlation And Regression- 4 - Question 8

When high values of one variable are associated with high values of the other & low values of one variable are associated with low values of another, then they are said to be

Test: Correlation And Regression- 4 - Question 9

If high values of one tend to low values of the other, they are said to be

Test: Correlation And Regression- 4 - Question 10

Correlation coefficient between two variables is a measure of their linear relationship .

Test: Correlation And Regression- 4 - Question 11

Correlation coefficient is dependent of the choice of both origin & the scale of observations.

Test: Correlation And Regression- 4 - Question 12

Correlation coefficient is a pure number.

Test: Correlation And Regression- 4 - Question 13

Correlation coefficient is —————— of the units of measurement.

Test: Correlation And Regression- 4 - Question 14

The value of correlation coefficient lies between

Test: Correlation And Regression- 4 - Question 15

Correlation coefficient can be found out by

Test: Correlation And Regression- 4 - Question 16

Covariance measures _________ variations of two variables.

Test: Correlation And Regression- 4 - Question 17

In calculating the Karl Pearson’s coefficient of correlation it is necessary that the data should be of numerical measurements. The statement is

Test: Correlation And Regression- 4 - Question 18

Rank correlation coefficient lies between

Test: Correlation And Regression- 4 - Question 19

A coefficient near +1 indicates tendency for the larger values of one variable to be associated with the larger values of the other.

Test: Correlation And Regression- 4 - Question 20

In rank correlation coefficient the association need not be linear.

Test: Correlation And Regression- 4 - Question 21

In rank correlation coefficient only an increasing/decreasing relationship is required.

Test: Correlation And Regression- 4 - Question 22

Great advantage of ____________ is that it can be used to rank attributes which can not be expressed by way of numerical value.

Test: Correlation And Regression- 4 - Question 23

The sum of the difference of rank is

Test: Correlation And Regression- 4 - Question 24

Karl Pearson’s coefficient is defined from

Test: Correlation And Regression- 4 - Question 25

Correlation methods are used to study the relationship between two time series of data which are recorded annually, monthly, weekly, daily and so on.

Test: Correlation And Regression- 4 - Question 26

Age of Applicants for life insurance and the premium of insurance – correlations are

Test: Correlation And Regression- 4 - Question 27

“Unemployment index and the purchasing power of the common man“ ——Correlations are

Test: Correlation And Regression- 4 - Question 28

Production of pig iron and soot content in Durgapur – Correlations are

Test: Correlation And Regression- 4 - Question 29

“Demand for goods and their prices under normal times” —— Correlations are

Test: Correlation And Regression- 4 - Question 30

___________ is a relative measure of association between two or more variables.

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