Question # 1

Methods of semi-averages gives an

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accurate result

objective result

authentic result

none of these

For a least squares linear trend Y = a + bX

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ΣY = ΣY

ΣY = 0

ΣY > ΣY

None of them

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

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Intercept

Slope

Variable

Trend

In time series seasonal variations can occur within a period of:

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Nine years

Four Years

Three years

One year

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

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Noise

Signal

Additive model

Multiplicative model

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

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All the Y-values are positive

All the Y-values lie on the line

All the Y-values lie above the line

None of these

The graph of time series is called:

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Histogram

Historigram

Straight line

Ogive

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 basic components of a time series are:

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2

3

4

5

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

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

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

Sum of squares of residuals is denoted by

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∑e

∑e²

∑e³

∑e⁴

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 additive model of the time series is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

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

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ICS Part 2 Statistics Chapter 16 Online Test MCQs With Answers

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