(A)Less than 0.6(B)At least 0.6, but less than 0.7(C)At least 0.7, but less than 0.8(D)At least 0.8, but less than 0.9(E)At least 0.9An insurer has data on losses for four policyholders for 7 years. The loss from the 1hpolicyholder for year j is X.You are given:4 7É({xy – X,) = 33.60Σ(Χ- x- 3.30Using nonparametric empirical Bayes estimation, calculate the Bühlmann credibility factorfor an individual policyholder.

Answered: Image /qna-images/answer/68307511-4f6c-4817-b4de-262634af5e47.jpg

Answered: An insurer has data on losses for four…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A set of n = 25 pairs of scores (X and Y values) produces a regression equation Y = 3X – 2. Findthe predicted Y value for each of the following X scores: 0, 1, 3, -2.
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A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.34 b=36.954 r2=0.966289 r=-0.983 Use this to predict the number of situps a person who watches 5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.666 b=36.053 r2=0.552049 r=-0.743 Use this to predict the number of situps a person who watches 4.5 hours of TV can do (to one decimal place)
uppose a shipment of 140 electronic components contains 3 defective components. To determine whether the shipment should be accepted, a quality-control engineer randomly selects 3 of the components and tests hem. If 1 or more of the components is defective, the shipment is rejected. What is the probability that the shipment is rejected? The probability that the shipment is rejected is (Round to four decimal places as needed.) Question Help Enter your answer in the answer box. Type here to search 511 PM 10/23/2019 ASUS esc 96 5 7 6 4 3 2 a. T R E w tab F D A cops lock N B V 1 z X Z alR N I S
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-1.075 b=27.958 r2=0.919681 r=-0.959 Use this to predict the number of situps a person who watches 12 hours of TV can do (to one decimal place)

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An insurer has data on losses for four policyholders for 7 years. The loss from the h policyholder for year j is X. You are given: 4 ΣΣ(Χ,- Χ)-33.60 =1 j=1 Σ(Χ- -3.30 Using nonparametric empirical Bayes estimation, calculate the Bühlmann credibility factor for an individual policyholder.