4 A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence tosupport the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05.Correlation matrix:Variables Paper GlassClick here to view a table of critical values for the correlation coefficient.Раper10.1399Glass0.13991Determine the null and alternative hypotheses.Ho: P(Type integers or decimals. Do not round.)Identify the test statistic, r.r =(Round to three decimal places as needed.)Identify the critical value(s).(Round to three decimal places as needed.)A. There is one critical value at r=.B. There are two critical values at r= ±State the conclusion.Because the absolute value of the test statistic isthe positive critical value, theresufficient evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for asignificance level of a = 0.05.Click to select your answer(s). Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that r= 0, does that indicate that there is no association betweenthese two variables?Choose the correct answer below.A. No, because if r= 0, the variables are in a perfect linear relationship.B. Yes, because if r= 0, the variables are completely unrelated.O c. No, because r does not measure the strength of the relationship, only its direction.O D. No, because while there is no linear correlation, there may be a relationship that is not linear.

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Description: 4 A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence tosupport the claim that there is a li

Given: paper glass paper 1 0.1399 glass 0.1399 1 level of significance = 0.05 n = 62

Math

Statistics

Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that r = 0, does that indicate that there is no association between these two variables? Choose the correct answer below. O A. No, because if r=0, the variables are in a perfect linear relationship. O B. Yes, because if r=0, the variables are completely unrelated. OC. No, because r does not measure the strength of the relationship, only its direction. O D. No, because while there is no linear correlation, there may be a relationship that is not linear.

Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that r = 0, does that indicate that there is no association between these two variables? Choose the correct answer below. O A. No, because if r=0, the variables are in a perfect linear relationship. O B. Yes, because if r=0, the variables are completely unrelated. OC. No, because r does not measure the strength of the relationship, only its direction. O D. No, because while there is no linear correlation, there may be a relationship that is not 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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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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A data set includes weights of garbage discarded in one week from 62 different households. The paired weights of paper and glass were used to obtain the results shown to the right. Is there sufficient evidence to
support the claim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a = 0.05.
Correlation matrix:
Variables Paper Glass
Click here to view a table of critical values for the correlation coefficient.
Раper
10.1399
Glass
0.1399
1
Determine the null and alternative hypotheses.
Ho: P
(Type integers or decimals. Do not round.)
Identify the test statistic, r.
r =
(Round to three decimal places as needed.)
Identify the critical value(s).
(Round to three decimal places as needed.)
A. There is one critical value at r=.
B. There are two critical values at r= ±
State the conclusion.
Because the absolute value of the test statistic is
the positive critical value, there
sufficient evidence to support the claim that there is a linear correlation between the weights of discarded paper and glass for a
significance level of a = 0.05.
Click to select your answer(s).

Twenty different statistics students are randomly selected. For each of them, their body temperature (°C) is measured and their head circumference (cm) is measured. If it is found that r= 0, does that indicate that there is no association between
these two variables?
Choose the correct answer below.
A. No, because if r= 0, the variables are in a perfect linear relationship.
B. Yes, because if r= 0, the variables are completely unrelated.
O c. No, because r does not measure the strength of the relationship, only its direction.
O D. No, because while there is no linear correlation, there may be a relationship that is not linear.

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