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

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

Regression line x on y is

• 
  A
• 
  B
• 
  C
• 
  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

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

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

A data points falling along a straight line is called______.

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

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

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

A set of points in a rectangular coordinate system, where each point represents an observed pair of values is called

• least square regression A
• scatter diagram B
• pie graph C
• regression coefficient D

The regression equation always passes throught_________.

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

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

The estimated regression line always passes through

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

If r = -1, then there is

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

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

• = A
• < B
• > C
• ≠ D