Report and interpret the P-value for Fisher’s exact test with (i) Ha: θ > 1, and (ii) Ha: θ ̸= 1. Table 2.15 contains results of a study comparing radiation therapy with surgery intreating cancer of the larynx. Some R output follows:> fisher.test (matrix(c(21,2,15,3),ncol=2,byrow=TRUE), alternative="two.sided")p-value = 0.6384> fisher.test (matrix(c (21,2,15,3),ncol=2, byrow=TRUE), alternative= "greater")p-value - 0.3808> fisher.test (matrix(c(21,2,15,3),ncol=2, byrow=TRUE), alternative="less")p-value = 0.8947Table 2.15 Data for Exercise 2.23.Cancer Controlled Cancer Not ControlledSurgeryRadiation therapy212153Source: W. Mendenhall et al., Int. J. Radiat. Oncol. Biol. Phys. 10: 357–363 (1984), with permission from Elsevier Science Ltd.

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Answered: Table 2.15 contains results of a study…

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 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=-0.696 b=30.652 r=0.603729 r=-e.777 Use this to predict the number of situps a person who watches 13.5 hours of TV can do (to one decimal place) Question Help: Message instructor
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=-0.76 b=21.83 r2=0.659344 r=-0.812 Use this to predict the number of situps a person who watches 4 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=-0.722 b=21.301 r2=0.381924 r=-0.618 Use this to predict the number of situps a person who watches 2 hours of TV can do (to one decimal place)
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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=-1.307 b=32.392 r²=0.675684 r=-0.822 Use this to predict the number of situps a person who watches 12.5 hours of TV can do (to one decimal place)
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A chemistry experiment is performed measuring the solubility of potassium chloride (KCl) in water at different temperatures. The goal was to determine if there is a linear relationship between the temperature of the water and how much KCl can dissolve, measured as grams per 100 milliliter (g/100mL). After the experiments were performed, the following data was collected with temperature being the independent x-variable and solubility being the dependent y-variable: Temperature (°C) x Solubility (g/100mL) y 10 31 20 33 30 37 40 41 50 42 Based on the data given for temperature and solubility of KCl and without doing any math yet, which of the following do you predict would best describe the relationship between these variables? A positive linear relationship (r close to 1) A positive linear relationship (r close to -1) A negative linear relationship (r close to 1) A negative linear relationship (r close to -1)…
Interpret the intercept and the coefficients of D1 and D2 in the regression above.

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