Chapter 2, XXXXXXXXXXSection 5, Exercise 162 With XXXXXXXXXXwhich of the following scatterplots below does the correlation,r=0.8, match? \ a. Scatterplot (a) b. Scatterplot (b) c. Scatterplot...



























































Chapter 2, Section 5, Exercise 162





With which of the following scatterplots below does the correlation,r=0.8, match?





\
















a.



Scatterplot (a)












b.



Scatterplot (b)












c.



Scatterplot (c)












d.



Scatterplot (d)












Answer:

































































































































Chapter 2, Section 5, Exercise 165





With which of the following scatterplots below does the correlation,r=-0.38, match?



















a.



Scatterplot (a)












b.



Scatterplot (b)












c.



Scatterplot (c)












d.



Scatterplot (d)












Answer:































































































































Chapter 2, Section 5, Exercise 168





Two quantitative variables are described below. Do you expect a positive or negative association between the two variables?
Size of a houseandCost to heat the house












a.



positive.












b.



negative.












Answer:































































































































Chapter 2, Section 5, Exercise 173





Two quantitative variables are described below. Do you expect a positive or negative association between the two variables?
Amount of time spent studyingandGrade on the exam












a.



positive.












b.



negative.












Answer:































































































































Chapter 2, Section 5, Exercise 174





Choose the scatterplot of the data below. Put theXvariable on the horizontal axis and theYvariable on the vertical axis.






















X



3



5



2



7



6



Y



2



1.5



1



2.5



3













a.














b.














c.














d.














e.














Answer:






























































































































Chapter 2, Section 5, Exercise 176





UseStatKeyor other technology to find the correlation for the following data.






















X



3



5



1



8



6



Y



1



2



1.5



3



2.5



Clickhereto accessStatKey.
Round your answer to three decimal places.
The correlation isr=Enter your answer in accordance to the question statement
*1
.




Significant digits not applicable; the absolute tolerance is +/-0.001























































































Chapter 2, Section 5, Exercise 179abd








































Mother's Love, Hippocampus, and Resiliency

Multiple studies1in both animals and humans show the importance of a mother's love (or the unconditional love of any close person to a child) in a child's brain development. A recent study shows that children with nurturing mothers had a substantially larger area of the brain called the hippocampus than children with less nurturing mothers. This is important because other studies have shown that the size of the hippocampus matters: People with large hippocampus area are more resilient and are more likely to be able to weather the stresses and strains of daily life. These observations come from experiments in animals and observational studies in humans.

1Raison, C., "Love key to brain development in children," cnn.com,The Chart, March 12, 2012.



















































(a) Is the amount of maternal nurturing one receives as a child positively or negatively associated with hippocampus size?












a.



Positive












b.



Negative












Answer:




















































(b) Is hippocampus size positively or negatively associated with resiliency and the ability to weather the stresses of life?












a.



Positive












b.



Negative












Answer:





















































(c) Can we conclude that maternal nurturing in humans causes the hippocampus to grow larger?





Can we conclude that maternal nurturing in animals (such as mice, who were used in many of the experiments) causes the hippocampus to grow larger?






























































































































Chapter 2, Section 5, Exercise 181






Social Jetlag

Social jetlag refers to the difference between circadian and social clocks, and is measured as the difference in sleep and wake times between work days and free days. For example, if you sleep between11pm and7am on weekdays but from2am to10am on weekends, then your social jetlag is three hours, or equivalent to flying from the West coast of the US to the East every Friday and back every Sunday. Numerous studies have shown that social jetlag is detrimental to health. One recent study1measured the self-reported social jetlag of145healthy participants, and found that increased social jetlag was associated with a higher BMI (body mass index), higher cortisol (stress hormone) levels, higher scores on a depression scale, fewer hours of sleep during the week, less physical activity, and a higher resting heart rate.
(a) Indicate whether social jetlag has a positive or negative correlation with each variable listed: BMI, cortisol level, depression score, weekday hours of sleep, physical activity, heart rate.
BMI:





Cortisol level:





Depression score:





Weekday hours of sleep:





Physical activity:





Heart rate:





(b) Can we conclude that social jetlag causes the adverse effects described in the study?







1Rutters F, et al., "Is social jetlag associated with an adverse endocrine, behavioral, and cardiovascular risk profile?"J Biol Rhythms, 2014 October; 29(5); 377-83.























































































Chapter 2, Section 5, Exercise 183








































NFL Pre-Season

Does pre-season success indicate regular season success in the US National Football League? We looked at the number of pre-season wins and regular season wins for all 32 NFL teams over a 10 year span.



















































(a) What would a positive association imply about the relationship between pre-season and regular season success in the NFL?












a.



More wins in the pre-season is associated with more wins in the regular season.












b.



More wins in the pre-season is associated with fewer wins in the regular season.












c.



There is almost no association between the number of wins in the pre-season and the number of wins in the regular season.












Answer:





















































(b) What would a negative association imply about the relationship between pre-season and regular season success in the NFL?












a.



More wins in the pre-season is associated with more wins in the regular season.












b.



More wins in the pre-season is associated with fewer wins in the regular season.












c.



There is almost no association between the number of wins in the pre-season and the number of wins in the regular season.












Answer:





















































(c) The correlation between these two variables isr=0.067. What does this correlation tell you about the strength of a linear relationship between these two variables?












a.



There is a strong positive correlation between the variables.












b.



There is a strong positive relationship but we cannot conclude causation.












c.



There is almost no linear relationship between the two variables.












Answer:

























































































Chapter 2, Section 5, Exercise 186








































Genetic Diversity and Distance from Africa

It is hypothesized that humans originated in East Africa, and migrated from there. We compute a measure of genetic diversity for different populations,66and the geographic distance of each population from East Africa (Addis Ababa, Ethiopia), as one would travel over the surface of the earth by land (migration long ago is thought to have happened by land). The relationship between these two variables is shown in the figure below and the data are given inGeneticDiversity.








1Calculated from data from S Ramachandran, O Deshpande, CC Roseman, NA Rosenberg, MW Feldman, LL Cavalli-Sforza.



















































(a) Describe the relationship between genetic diversity and distance from East Africa. Does there appear to be an association?





If so, it is positive or negative?





Strong or weak?





Linear or nonlinear?




















































(b) Which of the following values gives the correlation between these two variables?












a.



r=-1.22












b.



r=-0.83












c.



r=-0.14












d.



r=0.14












e.



r=0.83












f.



r=1.22












Answer:





















































(c) On which continent is the population with the lowest genetic diversity?












a.



Africa












b.



Middle East












c.



Europe












d.



Central South Asia












e.



Oceania












f.



America












Answer:





















































(d) On which continent is the population that is farthest from East Africa (by land)?












a.



Africa












b.



Middle East












c.



Europe












d.



Central South Asia












e.



Oceania












f.



America












Answer:





















































(e) Populations with greater genetic diversity are thought to be better able to adapt to changing environments, because more genetic diversity provides more opportunities for natural selection. Based only on this information and the given figure, do populations closer or farther from East Africa appear to be better suited to adapt to change?












a.



Closer to East Africa












b.



Farther from East Africa












Answer:

























































































Chapter 2, Section 5, Exercise 191cd








































Exercising or Watching TV?

TheStudentSurveydataset includes information on the number of hours a week students say they exercise and the number of hours a week students say they watch television.







Number of hours a week of exercise and of television watching




Clickherefor the dataset associated with this question.



















































(a) There are two outliers in this scatterplot.
Describe the student corresponding to the outlier on the right.





Describe the student corresponding to the outlier on the top.




















































(b) The correlation between these two variables isr=0.01. What does this correlation tell you about the strength of a linear relationship between these two variables?












a.



Positive and very strong












b.



Positive and moderately strong












c.



Very little linear relationship at all












d.



Negative and moderately strong












e.



Negative and very strong












Answer:

























































































Chapter 2, Section 5, Exercise 195acef








































Iris Petals

Allometry is the area of biology that studies how different parts of a body grow in relation to other parts. The figure below shows a scatterplot1comparing the length and width of petals of irises.







Iris petals





1R.A. Fishers's iris data downloaded from http://lib.stat.cmu.edu/DASL/Datafiles/Fisher'sIrises.html.



















































(a) Does there appear to be a positive or negative association between petal width and petal length?












a.



Positive












b.



Negative












Answer:




















































(b) Estimate the correlation.












a.



r=1












b.



r=0.8












c.



r=0.1












d.



r=-0.1












e.



r=-0.8












f.



r=-1












Answer:




















































(c) Estimate the width of the petal which has a length of30mm.
Round your answer to the nearest integer.
petal width≈
*1
mm



Significant digits not applicable; the absolute tolerance is +/-1



















































(d) There are at least two different types of irises included in the study. Name one difference between the types that the scatterplot makes obvious.












a.



One type of petal is larger than the other.












b.



One type of petal is more smooth than the other.












c.



The petal length is positively associated with the petal width.












d.



The two types of petals are different colors.












Answer:






























































































































Chapter 2, Section 6, Exercise 204





UseStatKeyor other technology to find the regression line to predictYfromXusing the following data.






















X



3



5



2



7



6



Y



2



3.5



1.5



5.5



3.5





Clickhereto accessStatKey.
Round your answers to three decimal places.
The regression equation isY^=
*1
+
*2
X.





*1

- significant digits not applicable; the absolute tolerance is +/-0.001



*2

- significant digits not applicable; the absolute tolerance is +/-0.001























































































Chapter 2, Section 6, Exercise 210abcdef








































Is It Getting Harder to Win a Hot Dog Eating Contest?

Every Fourth of July, Nathan’s Famous in New York City holds a hot dog eating contest. The table below shows the winning number of hot dogs and buns eaten every year from 2002 to 2015, and the data are also available inHotDogs. The figure below shows the scatterplot with the regression line.


















































































Year





Hot Dogs



2015



62



2014



61



2013



69



2012



68



2011



62



2010



54



2009



68



2008



59



2007



66



2006



54



2005



49



2004



54



2003



45



2002





50






Winning number of hot dogs in the hot dog eating contest





Winning number of hot dogs and buns




Clickherefor the dataset associated with this question.
Clickhereto accessStatKey.



















































(a) Is the trend in the data mostly positive or negative?












a.



Positive












b.



Negative












Answer:




















































(b) Using the figure provided, is the residual larger in 2007 or 2008?
Choose the answer from the menu in accordance to item (b) of the question statement





Is the residual positive or negative in 2010?
Choose the answer from the menu in accordance to item (b) of the question statement




















































(c) UseStatKeyor other technology to find the correlation.
Round your answer to three decimal places.
r=Enter your answer in accordance to the question statement
*1



Significant digits not applicable; the absolute tolerance is +/-0.001



















































(d) UseStatKeyor other technology to find the regression line to predict the winning number of hot dogs from the year.
Round your answer for the intercept to the nearest integer and your answer for the slope to two decimal places.
HotDogs^=Enter your answer in accordance to item (d) of the question statement
*1
+Enter your answer in accordance to item (d) of the question statement
*2
(Year)




*1

- significant digits not applicable; the absolute tolerance is +/-1



*2

- significant digits not applicable; the absolute tolerance is +/-0.01



















































(e) Interpret the slope of the regression line.












a.



The slope is the expected change in winning number of hot dogs for a 1 year increase in time.












b.



The slope is the expected year when the winning number of hot dogs was 1.












c.



The slope is the expected change in years if the winning number of hot dogs goes up by 1.












d.



The slope is the expected winning number of hot dogs as the year goes up by one.












Answer:




















































(f) Predict the winning number of hot dogs in 2016.
Round your answer to the nearest integer.
HotDogs^=Enter your answer in accordance to the question statement
*1



Significant digits not applicable; the absolute tolerance is +/-20























































































Chapter 2, Section 6, Exercise 212








































Football and Cognitive Percentile

A recent study1examined several variables on collegiate football players, including the variableYears, which is number of years playing football, and the variablePercentile, which gives percentile on a cognitive reaction test. The regression line for predictingPercentilefromYearsis:




P⁢e⁢r⁢c⁢e⁢n⁢t⁢i⁢l⁢e^=102-3.34⋅Y⁢e⁢a⁢r⁢s.





1Singh R, et al., "Relationship of Collegiate Football Experience and Concussion with Hippocampal Volume and Cognitive Outcomes",JAMA, 311(18), 2014. Data values are estimated from information in the paper.



















































(a) Predict the cognitive percentile for someone who has played football for8years and for someone who has played football for17years.
Enter the exact answers.
The cognitive percentile for someone who has played football for8years is
*1
.
The cognitive percentile for someone who has played football for17years is
*2
.




*1

- significant digits not applicable; exact number, no tolerance



*2

- significant digits not applicable; exact number, no tolerance



















































(b) Interpret the slope in terms of football and cognitive percentile.












a.



For every additional unit that cognitive percentile goes up, the predicted number of years of playing football goes down3.34.












b.



For every3.34years of playing football, cognitive percentile is102.












c.



For every additional year playing football, the predicted cognitive percentile goes down3.34.












d.



People who play more years of football score lower on cognitive percentile.












Answer:




















































(c) All the participants had played between7and18years of football. Is it reasonable to interpret the intercept in context?






























































































































Chapter 9, Section 1, Exercise 005





Computer output for fitting a simple linear model is given below. State the value of the sample slope for the given model. In testing if the slope in the population is different from zero, identify thep-value and use it (and a5%significance level) to make a clear conclusion about the effectiveness of the model.
The regression equation isY⁢=85.6-7.04X.



























Predictor



Coef



SE Coef



T



P



Constant



85.573



4.342



19.71



0.000



X



-7.0395



0.8214



-8.57



0.000





Sample slope:
*1


p-value:
*2


Is the model effective?





*1

- significant digits not applicable; exact number, no tolerance



*2

- significant digits not applicable; exact number, no tolerance























































































Chapter 9, Section 1, Exercise 015








































Student Survey: Correlation Matrix

A correlation matrix allows us to see lots of correlations at once, between many pairs of variables. A correlation matrix for several variables (Exercise,TV,Height,Weight, andGPA) in theStudentSurveydataset is given. For any pair of variables (indicated by the row and the column), we are given two values: the correlation as the top number and thep-value for a two-tail test of the correlation right beneath it.
Correlations: Exercise, TV, Height, Weight, GPA


























































































Exercise



TV



Height



Weight



TV



0.010



0.852



Height



0.118



0.181



0.026



0.001



Weight



0.118



0.165



0.619



0.026



0.002



0.000



GPA



-0.159



-0.129



-0.116



-0.217



0.003



0.017



0.033



0.000
















Cell Contents:



Pearson correlation



P-Value





Clickherefor the dataset associated with this question.



















































(a) Select the two variables that are most strongly positively correlated.












a.




Exercise












b.




TV












c.




Height












d.




Weight












e.




GPA












Answer:




















































What is the correlation andp-value between these variables?
The correlation is
*1
.
Thep-value is
*2
.




*1

- significant digits not applicable; exact number, no tolerance



*2

- significant digits not applicable; exact number, no tolerance



















































(b) Select the two variables that are most strongly negatively correlated.












a.




GPA












b.




Exercise












c.




Height












d.




TV












e.




Weight












Answer:




















































What is the correlation andp-value between these variables?
The correlation is
*1
.
Thep-value is
*2
.




*1

- significant digits not applicable; exact number, no tolerance



*2

- significant digits not applicable; exact number, no tolerance



















































(c) At a5%significance level, for how many pairs of variables is there NOT convincing evidence of a linear association?


*1
pair(s)



Significant digits not applicable; exact number, no tolerance























































































Chapter 9, Section 1, Exercise 023








































Rain and Hantavirus in Mice

Hantavirus is carried by wild rodents and causes severe lung disease in humans. A recent study1on the California Channel Islands found that increased prevalence of the virus was linked with greater precipitation. The study adds "Precipitation accounted for79%of the variation in prevalence."

1"More Rain, More Virus,"Nature, April 28 2011, p. 392.



















































(a) What notation or terminology do we use for the value79%in this context?












a.



p












b.



r












c.



R2












d.



b












e.



Standard error












f.



p-value












g.



β












Answer:




















































(b) What is the response variable?





What is the explanatory variable?




















































(c) What is the correlation between the two variables?
Round your answer to three decimal places.
r=
*1



Significant digits not applicable; the absolute tolerance is +/-0.001























































































Chapter 9, Section 1, Exercise 025








































Is the Honeybee Population Shrinking?

TheHoneybeedataset shows an estimated number of honeybee colonies in the United States for the years 1995 through 2012 (18years). The correlation between year and number of colonies from these data isr=-0.41.
Clickherefor the dataset associated with this question.



















































(a) Treating these as a sample of years give thet-statistic and thep-value.
Round your answers to two decimal places.
t-statistic=
*1


p-value=
*2


Do we have significant evidence that the number of honeybee colonies is linearly related to year?





*1

- significant digits not applicable; the absolute tolerance is +/-0.05



*2

- significant digits not applicable; the absolute tolerance is +/-0.01



















































(b) What percent of the variability in number of honeybee colonies can be explained by year in these data?
Round your answer to two decimal places.


*1
%



Significant digits not applicable; the absolute tolerance is +/-0.1




















































Feb 19, 2021
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