Question # 1

The regression equation always passes throught_________.

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(X, Y)

(X, y̅)

(X̅, Y)

(X̅, y̅)

A data points falling along a straight line is called______.

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Linear relationship

Non-linear relationship

Linear positive

Scatter diagram

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

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0.89

0.28

0.98

0.82

The estimated regression line always passes through

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origin

x-axis

y-axis

When b_xy is positive, then b_yx will be _______.

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Negative

Positive

Zero

One

The _______ regression line always passes through (X̅, y̅).

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Opposite

Estimated

Estimates

Random

Regression line x on y is

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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

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S_xy

S_yx

b_xy

b_yx

The estimates of the parameters=α and=β are

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μ and=σ2

a and b

μ andπ

χ2 and Z

A process by which we estimate the value of dependent variable on the basis of one or more independent variable is called_________.

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Residual

Correlation

Regression

Slope

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

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least square regression

scatter diagram

pie graph

regression coefficient

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

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

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=

<

>

≠

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b_yx

b_xy

S_p

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

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

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