E[Y|X] = XB Similarly, we will assume linearity of the conditional quantile functio Q(T|X) = XB₂ The quantile regression estimator is the sample analog of (7), whereby F(Y,X) is replaced by the EDF F(Y,X) with support on the data sample: B₁ - = arg min Elp(y; -x;ß)] i=1

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A:

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Q: B: Fit a second order polynomials to the data in the following:

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Q: briefly discuss a method of data analysis

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Q: You are given the following double-decrement table:

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Q: Given below is a data set: 30 23 49 22 32 21 35 35 27 59 57 46 42 43 39 38 26 33 37 25 20 31 36 34…

A:

Q: Evaluate the following: r (4)r re 1- 2- 61 (5.66) sr (0.66)

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Q: (b) Construct a relative frequency distribution of the data. Potholes Relative Frequency 1 2 3 4 5 6…

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A: