Question # 1

For a least squares linear trend=ŷ = a + bx, b is the

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variable

intercept

trend

slope

Which one is a rough and crude method for measuring secular trend ?

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free hand curve method

semi average method

moving averages method

least square method

For a least squares line trend Y = a + bx, the b is the:

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Intercept

Slope

Variable

Trend

The multiplicative time series model is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

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

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Noise

Signal

Linear

Non-linear

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 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 + b x,

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Σy <Σŷ

Σŷ = 0

Σy =Σŷ

none of these

The graph of a time series is called

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histogram

polygon

straight line

historigram

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

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

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X - intercept

Slope

Y- intercept

None of them

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

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population

parameter

sample

trend

The least squares estimates are unbiased estimates of the

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statistic

time series

parameters

variance

In the measurement of secular trend the moving averages

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give the trend in a straight line

measure the seasonal variations

smoothes out a time series

measure irregular fluctuations

For a least squares linear trend Y = a + bX

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ΣY = ΣY

ΣY = 0

ΣY > ΣY

None of them

The rise and fall of a time series periods longer than one- year is called.

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Secular trend

Seasonal variation

Cyclical variation

Irregular variation

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