O T O1. (a) A television executive selects 10 television shows and compares the average number of viewersthe show had last year with the average number of viewers this year. The data (in millions) areshown.Viewers last year (X)26.6 17.85 20.3 16,8 20.8 16.7 19.1| 18.9 16.0 15.8Viewers this year (Y) 28.9 19.2 26.4 13.7 20.2 18.8 25.O 21.0 16.8 15.3i.Describe the relationship by means of a suitable graphical representation. Is it linear or non-linear?How strong the relationship is?iii.Obtain an equation to estimate the viewers this year for a TV show which had 20.2 millionviewers last year.iv.Plot and examine the residuals obtained from the equation in (c). Can the equation beconsidered a good model for estimation?1. (b) The article "Who Wants Airbags" in Chance 18 (2005): 3-16 discusses whether air bagsshouldFiltersAdd a caption..о

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Description: O T O1. (a) A television executive selects 10 television shows and compares the average number of viewersthe show had last year with the average number of viewers this year. The data (in millions) areshown.Viewers last year (X)26.6 17.85 20.3 16,8 2

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1. (a) A television executive selects 10 television shows and compares the average number of viewers the show had last year with the average number of viewers this year. The data (in millions) are shown. Viewers last year (X) 26.6 | 17.85 | 20.3 16.8 20.8 16.7| 19.1 18.9 16.0 15.8 Viewers this year (Y) 28.9 19.2 26.4 13.7 20.2 18.8 25.0 21.0 16.8 15.3 Describe the relationship by means of a suitable graphical representation. Is it lineur or non- linear? i How strong the relationship is? i. Obtain an equation to estimate the viewers this year for a TV show which had 20.2 million viewers last year. iv. Plot and examine the residuals obtained from the equation in (c). Can the equation be considered a good model for estimation?

1. (a) A television executive selects 10 television shows and compares the average number of viewers the show had last year with the average number of viewers this year. The data (in millions) are shown. Viewers last year (X) 26.6 | 17.85 | 20.3 16.8 20.8 16.7| 19.1 18.9 16.0 15.8 Viewers this year (Y) 28.9 19.2 26.4 13.7 20.2 18.8 25.0 21.0 16.8 15.3 Describe the relationship by means of a suitable graphical representation. Is it lineur or non- linear? i How strong the relationship is? i. Obtain an equation to estimate the viewers this year for a TV show which had 20.2 million viewers last year. iv. Plot and examine the residuals obtained from the equation in (c). Can the equation be considered a good model for estimation?

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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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

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O T O
1. (a) A television executive selects 10 television shows and compares the average number of viewers
the show had last year with the average number of viewers this year. The data (in millions) are
shown.
Viewers last year (X)
26.6 17.85 20.3 16,8 20.8 16.7 19.1| 18.9 16.0 15.8
Viewers this year (Y) 28.9 19.2 26.4 13.7 20.2 18.8 25.O 21.0 16.8 15.3
i.
Describe the relationship by means of a suitable graphical representation. Is it linear or non-
linear?
How strong the relationship is?
iii.
Obtain an equation to estimate the viewers this year for a TV show which had 20.2 million
viewers last year.
iv.
Plot and examine the residuals obtained from the equation in (c). Can the equation be
considered a good model for estimation?
1. (b) The article "Who Wants Airbags" in Chance 18 (2005): 3-16 discusses whether air bagsshould
Filters
Add a caption..
о

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