2nd Year Statistics Chapter 14 Online MCQ Test for 12th Class Statistics Chapter 14 (Simple Linear Regression and Correlation)

The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called

• equation A
• relation B
• ratio C
• regression D

• 
  A
• b_yx B
• b_xy C
• S_p D

r is the ------------ of two regression co-efficient b_yx and b_xy

• arithmetic mean A
• geometric mean B
• harmonic mean C
• median D

The variable that forms the basis of estimation is called

• regression A
• regressand B
• regressor C
• correlation D

A data points falling along a straight line is called______.

• Linear relationship A
• Non-linear relationship B
• Linear positive C
• Scatter diagram D

A relationship where the flow of the data points is best represented by a curve is called_______.

• Linear positive A
• Linear negative B
• Linear relationship C
• Nonlinear relatiobship D

The estimated regression line always passes through

• origin A
• 
  B
• x-axis C
• y-axis D

The _______ regression line always passes through (X̅, y̅).

• Opposite A
• Estimated B
• Estimates C
• Random D

The regression equation always passes throught_________.

• (X, Y) A
• (X, y̅) B
• (X̅, Y) C
• (X̅, y̅) D

The value of the coefficient of correlation relies between__________.

• -1 and +1 A
• 0 and 1 B
• -1 and 0 C
• -0.5 and + 0.5 D

• S_xy A
• S_yx B
• b_xy C
• b_yx D

r_xy -------------- r_yx

• = A
• < B
• > C
• ≠ D

Regression line x on y is

• 
  A
• 
  B
• 
  C
• 
  D

A process by which we estimate the value of dependent variable on the basis of one or more independent variable is called_________.

• Residual A
• Correlation B
• Regression C
• Slope D

If constants are added to or subtracted from the values of the variables, the value of r 

• is negative A
• is positive B
• is zero C
• remains unchanged D

The variable, whose resulting value depends upon the selected value of the independent variable is called______.

• Regression A
• Regressor B
• Regressand C
• Coefficient D

The estimates of the parameters=α and=β are

• μ and=σ2 A
• a and b B
• μ andπ C
• χ2 and Z D