A paper suggests that the simple linear regression model is reasonable for describing the relationship between y = eggshellthickness (in micrometers, Pm) and x = egg length (mm) for quail eggs. Suppose that the population regression line isy = 0.115 + 0.005x and that o = 0.005. Then, for a fixed x value, y has a normal distribution with mean 0.115 + 0.005x andstandard deviation 0.005. (c) Approximately what proportion of quail eggs of length 14 mm have a shell thickness of greater than 0.182? (Hint: Thedistribution of y at a fixed x is approximately normal. Round your answer to four decimal places.)1Approximately what proportion of quail eggs of length 14 mm have a shell thickness of less than 0.187? (Round youranswer to four decimal places.)1

Answered: Image /qna-images/answer/89e7f6aa-98a8-44ec-99d0-91f120252476.jpg

Answered: A paper suggests that the simple linear…

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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Acrylamide is a chemical that is sometimes found in cooked starchy foods and which is thought to increase the risk of certain kinds of cancer. The paper "A Statistical Regression Model for the Estimation of Acrylamide Concentrations in French Fries for Excess Lifetime Cancer Risk Assessment"+ describes a study to investigate the effect of frying time (in seconds) and acrylamide concentration (in micrograms per kilogram) in french fries. The data in the accompanying table are approximate values read from a graph that appeared in the paper. Frying Acrylamide Time Concentration 150 240 240 270 300 300 150 125 + 195 185 135 275 USE SALT (a) Find the equation of the least-squares line for predicting acrylamide concentration using frying time. (Round your answers to four decimal places.) ŷ = (b) Does the equation of the least-squares line support the conclusion that longer frying times tend to be paired with higher acrylamide concentrations? Explain. O No, the least squares regression line…
Suppose your friend got a random sample of 100 students and the average turns out to be 2.5 hours a day, i.e. 912 hours in 2021. 1. Do you think this is a better estimated compare to yours in general? a) No. This average is too high than I expected. b) Yes. because this random sample has a much larger sample size. c) No. I think our estimates are both good since we used random sample. d) Yes. because this friend always complete tasks with more caution than I do. 2. Do you think there is a chance that your friends estimate is further away from the true proportion than yours? a) Yes b) No 3. Do you think that chance is very high? a) Yes. It is very likely that my estimates are better b) No. I expected estimates from a larger sample to be closer to the true "p" more often than those from a smaller sample.
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