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

The variable that forms the basis of estimation is called

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

• 
  A
• b_yx B
• b_xy C
• S_p D

When b_xy is positive, then b_yx will be _______.

• Negative A
• Positive B
• Zero C
• One 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

In simple linear regression, the number of unknown constants are:

• Two A
• Three B
• Four C
• Five 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 straight line graph of the linear equation Y = a + bX, the slope will be upward it_______.

• b = 0 A
• b < 0 B
• b > 0 C
• b ≠ 0 D

• 37 A
• 132 B
• 32 C
• cannot be calculated D

If X and Y are independent, then Cov(x,y) = 0 which implies that

• b_yx = 0 A
• b_xy = 0 B
• ρ = 0 C
• a = 0 D

If r = -1, then there is

• negative correlation A
• perfect negative correlation B
• no correlation C
• average correlation D

The estimated regression line always passes through

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

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

• = A
• < B
• > C
• ≠ D

The regression equation always passes throught_________.

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

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 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