Tag: business economics and quantitative methods

Questions Related to business economics and quantitative methods

The formula of product moment correlation is ______________.

  1. $r=\dfrac{S _{xy}}{\sqrt{S _xS _y}}$ ; S= Standard error

  2. $ r = \dfrac {{\sigma} _{xy}}{{N}{\sigma} _{x}{\sigma} _{y}}$ ; N=number of variables

  3. $ r = \dfrac {{-r}^2}{\sqrt{N}}$

  4. $ r = \dfrac {{6}{\sigma}^2 _{{d}}}{n({n}^2 - {1})}$


Correct Option: A
Explanation:

The formula for product moment correlation given in the option A is correct and measures the linear relationship between two variables. The formula basically tries to show how strongly are the two variables (x and y in this case) are related to each other. A correlation could be weakly or strongly correlated depending on the value of 'r'. 

The formula of Karl Pearson's co-efficient of correlation is ________.

  1. $r = 1 - \dfrac{6\Sigma{{D} _2}}{{{N} _{3}} - N}$

  2. $r = \dfrac{{\Sigma}{x}{y}}{{N}{\sigma}{x}{\sigma}{y}}$

  3. $ r = \dfrac {{\sigma}{x}}{{\sigma}{y}}$

  4. $ r = \dfrac {{\sigma}{y}}{{\sigma}{x}}$


Correct Option: B
Explanation:

The correct formula foe the karl pearson's coefficient if correlation is given in the option B. The value of coefficient always lies between -1 to +1 that measures the strength of linear relationship between two variables.

Defects of Karl Pearson's method is/are________.

  1. it consumes more time

  2. the value of correlation is affected by extreme values

  3. if the data are not homogeneous, the co-efficient of correlation will give a wrong picture

  4. all of the above


Correct Option: D
Explanation:

Disadvantages of using karl pearson's method is that it is avery time consuming and lengthy process and it gets affected by extreme values and it may give a wrong image if the variables are not of same nature or homogeneous.

The original formula that Pearson developed is commonly known as___________.

  1. Probable error

  2. the product moment method

  3. concurrent deviation method

  4. short-cut method


Correct Option: B

Karl Pearson's method is popularly known as ______________.

  1. concurrent deviation method

  2. correlation co-efficient

  3. technical co-efficient

  4. rank correlation


Correct Option: B
Explanation:

Karl Pearson's method is known as correlation coefficient as it measures the degree of relationship between two variables and its value ranges between +1 to -1.

The regression is linear when the curve of the regression is_____________.

  1. straight line

  2. not a straight line

  3. concave to the origin

  4. convex to the origin


Correct Option: A
Explanation:

Regression is said to be linear when the curve drawn from the data is a straight line. It measures the relationship between one dependent variable with one or more independent variables.

The problem of predicting the average value of one unknown variable from the known variable is called the problem of __________.

  1. correlation

  2. regression

  3. sampling distribution

  4. index number


Correct Option: B
Explanation:

In statistical modelling, regression analysis measures the degree of relationship among variables and here, the problem of predicting the average value of unknown variable from the known variable arise.

Regression establishes______________.

  1. the direction and degree of relationship between two variables

  2. the direction and degree of relationship between two or more variables

  3. the degree of variability between two and more variables

  4. the functional relationship between two variables


Correct Option: D
Explanation:

Regression measures the functional relationship between two variables in which one is a dependent variable while other variable is an independent. It measures the degree of association between the variables.

In statistics, 'regression' means _____________.

  1. act of returning back

  2. act of stepping back

  3. simply average relationship

  4. all of the above


Correct Option: C
Explanation:

Regression is a statistical measure that shows the relationship between two variables i.e. between dependent and independent variable. It also refers to as simply average relationships.

The Linear regression equation y = a + bx helps to estimate the _______.

  1. dependent variable

  2. independent variable

  3. both (A) and (B)

  4. none of the above


Correct Option: A
Explanation:

Regression equations are algebraic equations of regression lines. Regression equation of y on x can be stated as y=a+bx while regression equation of x on y will be stated as x=a+by.