Table of critical valuesshown to the right. Is there sufficient evidence toA data set includes weights of garbage discarded in one week from 62 different housupport the claim that there is a linear correlation between weights of discarded paCorrelation matrix:Variables Paper GlassClick here to view a table of critical values for the correlation coefficient.|Раper10.3890Glass0.38901a = .05a = 014.950.990.878.959Determine the null and alternative hypotheses.6.811.9177.754.875Ho: P8..707.8349..666.798(Type integers or decimals. Do not round.)10.632.76511.602.735Identify the test statistic, r.12.576.70813.553.684r =(Round to three decimal places as needed.)14.532.66115.514.641Identify the critical value(s).(Round to three decimal places as needed.)16.497.62317.482.606O A. There is one critical value at r=18.468.59019.456.575B. There are two critical values at r = ±20.444.56125.396.505State the conclusion.30.361.463Because the absolute value of the test statistic isthe positiv35.335.430is a linear correlation between the weights of discarded paper and glass for a40.312.402significance level of a = 0.05.45.294.37850.279.36160.254.33070.236.305 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|Раper10.3890Glass0.38901.....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 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.

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Answered: support the claim that there is a…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

Problem 15PPS

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Use table of critical values for correlation coefficient.
Insurance companies are known to charge different insurance rate for different categories of its customers, such as the age of the insured. Table 1 below shows the average insurance premium, the adjusted insurance premium, and the average insurance claim grouped by age. Calculate the correlation coefficient between the premiums (average premiuml adjusted premium) and claim values. Interpret the results of the correlation coefficients
Low/high is/is not
The correlation matrix below shows the Pearson r values for the correlations between the following variables. “kids” = number of children “emailhr” = number of hours the respondent spends doing email each week “prestige” = the occupational prestige of the respondent’s job, low numbers = low prestige, high numbers = high prestige “tvhours” = number of hours the respondent spends watching TV each week “wwwhr” = number of hours the respondent spends surfing the Web each week. Based on the values shown in the table, answer the questions below. kids emailhr prestige tvhours wwwhr kids 1 emailhr -0.02 1 prestige -0.09 0.04 1 tvhours 0.03 -0.01 -0.15 1 wwwhr -0.04 0.40 0.02 -0.02 1 Which two variables are most strongly correlated? Why do you think those two variables are highly correlated? Which two variables have the strongest negative correlation? Can you explain that relationship?
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 dlaim that there is a linear correlation between weights of discarded paper and glass? Use a significance level of a -0.05. Correlation matric Click here to yiew a table of ecitical values for the correlation coefficient Variables Paper Glass 10.4277 Рарer Glass Determine the null and alternative hypotheses. Но H: P (Type integers or decimals. Do not round.) Identify the test statistic, r. r=(Round to three decimal places as needed.) Identify the critical val (Round to three decimal places as needed.) the value(s) PA. There is one critical value atr OB. There are two oritical values atr State the conclusion. the positive critical value, there V sufficient evidence to sSupport the claim that there is a linear corelation between the weights of discarded paper and…
ab! ourses The accompanying technology output was obtained by using the paired data consisting of foot lengths (cm) and heights (cm) of a sample of 40 people. Along with the paired sample data, the technology was also given a foot length of 13.6 cm to be used for predicting height. The technology found that there is a linear correlation between height and foot length. If someone has a foot length of 13.6 cm, what is the single value that is the best predicted height for that person? "se Hom E Click the icon to view the technology output. abus The single value that is the best predicted height is cm. endar (Round to the nearest whole number as needed.) entation ktbook a-F on unouncem ssignment: cudy Plan radebook Hydrogen Report.pdf Enter your answer in the answer box. Screen Shot 20-11...9.53 P 5,981 10 tv MacBook Pro (5
True or false .If there is no linear correlation between enrollment and the number of burglaries , then those two variables are not related in anyway. Explain why ?
Calculate the best (most complex/sophisticated/stable) measure of central tendency allowed for the following data. The variable is favorite month (Where January = 1, February = 2, etc.) Explain. 3, 9, 9, 4, 2, 7, 1
A Correlation shows an association only between two variables
Note that this uses minitab. Make a scatterplot that will enable you to predict BBAC from number of beers consumed. What is the correlation coefficient?
What is the dependent variable? Internet access Father’s education Number of absences Age of the child https://isle.stat.cmu.edu/data-explorers/schoolabsence/ that is the link to the data set that the question refers to
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