ICS Part 2 Statistics Chapter 16 Online Test With Answers

ICS Part 2 Statistics Chapter 16 Online Test

Sr. # Questions Answers Choice
1 The sum of deviations=Σ(y-ŷ) = 0 1 10 -1
2 ŷ=a+bx, this line will be called least squares line if it makes=Σ(y-a-bx)2 maximum constant minimum variable
3 The equation of the quadratic (parabolic) trend is ŷ=a+bx ŷ=a+by ŷ=a+bΣx+cΣx<sup>2</sup> ŷ=a+bx+cx<sup>2</sup>
4 For a least squares linear trend ŷ = a + bx, the Σ(y-ŷ)2 = 0 when 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
5 For a least squares linear trend=ŷ= a + b x, Σy &lt;Σŷ Σŷ = 0 Σy =Σŷ none of these
6 For a least squares linear trend=ŷ = a + bx, b is the variable intercept trend slope
7 A business cycle has one phase two phases three phases four phases
8 Which one is a rough and crude method for measuring secular trend ? free hand curve method semi average method moving averages method least square method
9 Methods of semi-averages gives an accurate result objective result authentic result none of these
10 The method of least square gives too much weight to extremely large deviations from the population parameter sample trend
11 Sum of squares of residuals is denoted by ∑<i>e</i> ∑<i>e</i><sup>2</sup> ∑<i>e</i><sup>3</sup> <span style="font-size: 14.399999618530273px;">∑</span><i style="font-size: 14.399999618530273px;">e</i><sup>4</sup>
12 The elimination or addition of a few more time periods may change its speed value direction none of these
13 The least squares estimates are unbiased estimates of the statistic time series parameters variance
14 The straight line is fitted to a time series when the movements in the time series are linear quadratic cubic constant
15 In the measurement of secular trend the moving averages give the trend in a straight line measure the seasonal variations smoothes out a time series measure irregular fluctuations
16 The secular trend is measured by the method of semi-averages when time series contains yearly values trend is linear time series contains odd number of values none of these
17 The graph of a time series is called histogram polygon straight line historigram
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