Question # 1

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 graph of time series is called:

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Histogram

Historigram

Straight line

Ogive

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

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time series contains yearly values

trend is linear

time series contains odd number of values

none of these

The sum of deviations=Σ(y-ŷ) =

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0

1

10

-1

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

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

The unsystematic sequence which follows irregular pattern of variations is called:

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Noise

Signal

Linear

Non-linear

For a least squares linear trend Y = a + bX

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ΣY = ΣY

ΣY = 0

ΣY > ΣY

None of them

The systematic components of time series which follow regular pattern of variations are called:

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Noise

Signal

Additive model

Multiplicative model

The multiplicative time series model is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

The graph of a time series is called

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histogram

polygon

straight line

historigram

In the measurement of secular trend the moving averages:

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Give the trend in a straight line

Measure the seasonal variations

Smooth out a time series

None of these

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

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

The straight line is fitted to a time series when the movements in the time series are

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linear

quadratic

cubic

constant

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

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population

parameter

sample

trend

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

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

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X - intercept

Slope

Y- intercept

None of them

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