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

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

If b_yx = 0.89 and b_xy = 0.75, then r=

• 0.89 A
• 0.28 B
• 0.98 C
• 0.82 D

If the value of any regression coefficient is zero, then two variable are _______.

• Qualitative A
• Correlation B
• Dependent C
• Independent 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

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

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

• S_xy A
• S_yx B
• b_xy C
• b_yx 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 regression equation always passes throught_________.

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

The measures of strength of closeness of linear relationship between two variables is called

• simple linear regression A
• composite linear regression B
• simple linear correlation C
• composite linear correlation D

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

• = A
• < B
• > C
• ≠ D

The variable, that forms the basis of estimation, is called_______.

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

• 
  A
• b_yx B
• b_xy C
• S_p D

A data points falling along a straight line is called______.

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

If r = -1, then there is

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

Regression line x on y is

• 
  A
• 
  B
• 
  C
• 
  D

The variable that forms the basis of estimation is called

• regression A
• regressand B
• regressor C
• correlation 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