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

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

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

• y-intercept A
• x-intercept B
• slope C
• none of these D

If r = -1, then there is

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

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

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

• Qualitative A
• Correlation B
• Dependent C
• Independent 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 _______ regression line always passes through (X̅, y̅).

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

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

• Two A
• Three B
• Four C
• Five D

When b_xy is positive, then b_yx will be _______.

• Negative A
• Positive B
• Zero C
• One 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

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

• = A
• < B
• > C
• ≠ 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

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

The variable that forms the basis of estimation is called

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