Question # 1

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

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Regression

Regressor

Regressand

Estimated

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

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=

<

>

≠

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

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Two

Three

Four

Five

The regression equation always passes throught_________.

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(X, Y)

(X, y̅)

(X̅, Y)

(X̅, y̅)

The value of the coefficient of correlation relies between__________.

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-1 and +1

0 and 1

-1 and 0

-0.5 and + 0.5

A data points falling along a straight line is called______.

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Linear relationship

Non-linear relationship

Linear positive

Scatter diagram

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y-intercept

x-intercept

slope

none of these

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b_yx

b_xy

S_p

The straight line graph of the linear equation Y = a + bX, the slope will be upward it_______.

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b = 0

b < 0

b > 0

b ≠ 0

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

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b_yx = 0

b_xy = 0

ρ = 0

a = 0

If r = -1, then there is

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negative correlation

perfect negative correlation

no correlation

average correlation

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

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simple linear regression

composite linear regression

simple linear correlation

composite linear correlation

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S_xy

S_yx

b_xy

b_yx

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37

132

32

cannot be calculated

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

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equation

relation

ratio

regression

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

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Linear positive

Linear negative

Linear relationship

Nonlinear relatiobship

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

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is negative

is positive

is zero

remains unchanged

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