Question # 1

In a straight line equation Y = a + bX; a is the:

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X - intercept

Slope

Y- intercept

None of them

The multiplicative time series model is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

A business cycle has

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one phase

two phases

three phases

four phases

The equation of the quadratic (parabolic) trend is

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ŷ=a+bx

ŷ=a+by

ŷ=a+bΣx+cΣx²

ŷ=a+bx+cx²

The additive model of the time series is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

Methods of semi-averages gives an

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accurate result

objective result

authentic result

none of these

The secular trend is measured by the method of semi-averages when:

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Time series contains yearly value

Trend is linear

Time series contains odd number of values

None of them

The method of least square gives too much weight to extremely large deviations from the

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population

parameter

sample

trend

In moving average method, we cannot find the trend values of some:

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Middle periods

End periods

Starting periods

Between extreme periods

The sum of deviations=Σ(y-ŷ) =

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0

1

10

-1

The graph of a time series is called

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histogram

polygon

straight line

historigram

For a least squares linear trend Y = a + bX

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ΣY = ΣY

ΣY = 0

ΣY > ΣY

None of them

The basic components of a time series are:

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2

3

4

5

Increase the number of patients in the hospital due to heel stock is:

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Seasonal trend

Secular trend

Cyclical movements

Irregular variation

For a least squares linear trend ŷ = a + bx, the Σ(y-ŷ)² = 0 when

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all the y-values lie on the line

all the y-values are positive

all the y-+values lie above the line

none of these

For a least squares linear trend=ŷ= a + b x,

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Σy <Σŷ

Σŷ = 0

Σy =Σŷ

none of these

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

ŷ=a+bx, this line will be called least squares line if it makes=Σ(y-a-bx)2

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maximum

constant

minimum

variable

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