Data management 2. Identify the most likely type of causal relationship between each of the following pairsof variables. Assume that a strong positive correlation has been observed with the firstvariable as the independent variableList the type of relationship and give a brief explanationa) Alcohol consumption, incidence of automobile accidentsb) Score on physics examination, score on calculus examination) Coffee consumption, insomniad) Population of rabbits, consumer price indexe) Number of scholarships received, number of job offers upon graduation

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Answered: 2. Identify the most likely type of…

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.6: Summarizing Categorical Data

Problem 27PPS

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The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
A zero correlation bewteen X and Y is least likely to occur if?
A sociologist recorded the number of contacts entered in a cell phone and the number of texts sent in a week for 20 cell phone users. The resulting data were used to conduct a hypothesis test to investigate whether there is a linear relationship between the number of contacts and the number of texts sent. What are the correct hypotheses for the test?
MR In Dave Eggers’ novel The Circle, a mysteri-ous technology company has developed a strangely data-driven work environment in which employees are assigned a performance score that seems to be the product of factors in their social activities and environment, such as the extent of their engagement in work community and the number of times they post on the company’s social media site. Using the fictional data below, compute r and r2 for each com-bination of two variables from this novel and test the correlations for their significance. Write a paragraph interpreting the relationships between these vari-ables, and what they might mean for the company
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of five types of automobile, the linear correlation coefficient is found and the P-value is 0.033. Write a statement that interprets the P-value and includes a conclusion about linear correlation. The P-value indicates that the probability of a linear correlation coefficient that is at least as extreme is nothing%, which is ▼ high, low, so there ▼ is not is sufficient evidence to conclude that there is a linear correlation between weight and highway fuel consumption in automobiles.
13. Let x be the independent variable representing the number of car accidents for eight similarly sized American cities. Let y be the dependent variable representing the car insurance costs in those eight cities. What kind of correlation do you expect to observe?
does this relationship apears to be positive, negative, or zero correlation?
If the correlation coefficient for a set of paired variables X and Y is negative, then there exists ____________________ between X and Y.

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