Question # 1

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

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

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X - intercept

Slope

Y- intercept

None of them

The trend values in freehand curve method are obtained by:

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Equation of straight line

Second degree parabola

Signal

Graph

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

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Σy <Σŷ

Σŷ = 0

Σy =Σŷ

none of these

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

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 additive model of the time series is:

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Y = T + S + C + I

TSCI

Y = a + bX

Y = a + bX + cX²

The basic components of a time series are:

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2

3

4

5

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

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linear

quadratic

cubic

constant

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

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

For a least squares linear trend Y = a + bX

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ΣY = ΣY

ΣY = 0

ΣY > ΣY

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

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

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Intercept

Slope

Variable

Trend

The graph of time series is called:

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Histogram

Historigram

Straight line

Ogive

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

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Nine years

Four Years

Three years

One year

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

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