Question # 1

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

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

The estimated regression line always passes through

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origin

x-axis

y-axis

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

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=

<

>

≠

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

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Regression

Regressor

Regressand

Estimated

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

Regression line x on y is

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S_xy

S_yx

b_xy

b_yx

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

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arithmetic mean

geometric mean

harmonic mean

median

The variable that forms the basis of estimation is called

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regression

regressand

regressor

correlation

The estimates of the parameters=α and=β are

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μ and=σ2

a and b

μ andπ

χ2 and Z

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37

132

32

cannot be calculated

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

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0.89

0.28

0.98

0.82

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