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Unformatted text preview: {i Review Test  Ted Gauckler  Internet Explorer GEE? ' hthssﬂ 'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEtitﬁewFavaitﬂsl'odslleh if; E PCF‘IETean —J!l Itans E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:3ot3pts 4 1onV m
@719 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1whether the correlation is poslti
The age of the pilot and the altitude of the aircraft Choose the correct answer below. 3 r— The variables are not correlated. . Positive correlation because older pilots tend to Ill.r at higher altitudes I!
L. Negative correlation because vounger pilots tend to tt'_u,.r at higher altitudes Question is complete. {i Review Test  Ted Gauckler  Internet Explorer GEE? ' hthssﬂ ﬁ'ttdcomll'StJJdentl'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEﬁtﬁewFavaiteel’odsl—leh if; E PCPIETeaIn —J!l Itans E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:ﬂot3pts 4 1onV m
@7.1.9 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1.I.rl"Iett"Ier the correlation is poslti
The number of axles on a vehicle and the gas mileage {in mpg)
Choose the correct answer below. i— Negative correlation because cars that have more axles tend to have lower gas mileage 3. Positive correlation because cars that have more axles tend to have higher gas mileage
I.“ II: . The variables are not correlated. Question is complete. Tap on the red indicators to see incorrect answers. {i Review Test  Ted Gauckler  Internet Explorer GEE? ' hthssﬂ 'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEtitﬁewFavaitﬂsl'odslleh if; E PCPIETean —J!l Itans E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:ﬂot4pts 4 sofa? S @7110 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1whether the correlation is poslti
The ID scores and hat sizes of randomlv selected adults
Choose the correct answer below. In}, * Positive correlation because adults with larger hats tend to have higher lﬂs
* 3. The variables are not correlated I.,. Negative correlation because adults with larger hats tend to have higher ltls Question is complete. Tap on the red indicators to see incorrect answers. {i Review Test  Ted Gauckler  Internet Explorer GEE? ' httpsﬂﬁmmw.maﬁ'ttdcomll'StJJdentl'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEﬁtﬁewFavaitesl’odsl—leh if; E PCPIETeaIn —J!l Itans E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:4ot4pts 4 sofa? S @7110 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1.I.rl"iett"ier the correlation is positi
The outside air temperature and the altitude of aircraft Choose the correct answer below. .3? r— Negative correlation because the temperature decreases as the altitude increases I"I
3. Positive correlation because the temperature decreases as the altitude increases
'2. The variables are not correlated Question is complete. {i Review Test  Ted Gauckler  Internet Explorer GEE? ' hthssﬂ 'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEtitﬁewFavaitﬂsl'odslleh if; E PCPIETeaIn —J!l Itans E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:ﬂot4pts 4 from? m @7113 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1whether the correlation is poslti
The shoe sizes and SAT scores of randomly.r selected subjects who take the SAT Choose the correct answer below. I'll H. Positive correlation because students 1.Ivith larger feet tend to score higher on the SAT
* 3. The variables are not correlated.
J'l I22. Negative correlation because students with larger feet tend to score lower on the SAT Question is complete. Tap on the red indicators to see incorrect answers. {i Review Test  Ted Gauckler  Internet Explorer GEE? ' hthssﬂ ﬂitdcomfstudentlplaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEtitﬁewFavaitﬂsl'odslleh if; E PCPIETeaIn —J!l Hare E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:4ot4pts 4 from? m @7113 For the following pair of variables, state whether you believe the two variables are correlated. If you believe thev are correlated, state 1whether the correlation is poslti
The shoe sizes and SAT scores of randomly.r selected subjects who take the SAT Choose the correct answer below. 3 r— The variables are not correlated. . Positive correlation because students 1with larger feet tend to score higher on the SAT I!
L. Negative correlation because students with larger feet tend to score lower on the SAT Question is complete. {i Review Test  Tecl Gauckler  Internet Explorer GEE? ' hthasﬂ ﬁ'udcometJJclenti'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁaidtler X [ HeEcitﬁewFavailnel’odsi—leh g E PCPIETeaIn —J!l Itans E Web Slice Gallery v i'.'1 121 2 III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:2o14pts 4 :1on? m @7117 Consider the following scaiierplot that shows one year's total sales {revenue} and proﬁts for eight large retailers in a country. Estimate the correlation coefﬁcient and
he a correlation betIreen sales and proﬁts. There is a strong positive‘ correlation between sales and proﬁts, and the correlation coefﬁcient is approximater {195. Question is complete. Tap on the red indicators to see incorrect answers. {i Review Test  Tecl Gauckler  Internet Explorer GEE? ' hthasﬂ ﬁ'udcometJJclenti'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁaidtler X [ HeEcitﬁewFavailnel’odsi—leh if; E PCPIETeaIn —J!l Itans E Web Slice Gallery v i'.'1 121 2 III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:2o14pts 4 :1on? p @7117 Consider the following scaiierplot that shows one year's total sales {revenue} and proﬁts for eight large retailers in a country. Estimate the correlation coefﬁcient and
he a correlation betIreen sales and proﬁts. There is a strong positive correlation between sales and proﬁts, and the correlation coefﬁcient is approximater {194. 1 Question is complete. Tap on the red indicators to see incorrect answers. {—r Fteview Test  Ted Gauckler  Internet Explorer r I hthasﬂ ﬁttdcometudenﬂ'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁatdtler X [ HeEﬁtﬁewFavaiteel’odsl—leh if; E PCF‘IETean —J!l IIEI'IS E we: Slice Gallery v i'..1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz Score: 2.6? of 4 pts 4 5 org 7 p @1145” Consider the toiletring table showing speed limits and death rates from automobile accidents in selected countries. Complete parts a and h.
a Click the icon to View the talole. I: ’ i a I“ J—u. _u .u (43. Speed limit [mphj
Dealh rate
Dealti rate 512} 55 812}
Death rate Speed limit {mph} b. Calculate the correlation coefﬁcient of the data. Eln'eﬁy characten'ze the correlation in words [for example, moderate positive correlation, weal: negative correlation r = H.553 [Round to two decimal places as needed.) Characterize the correlation in words. There isa moderate positive correlation. Question is complete. Tap on the red indicators to see incorrect answers. {—r Fteview Test  Ted Gauckler  Internet Explorer r I hthasﬂ ﬁttdcometudenﬂ'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁatdtler X [ HeEﬁtﬁewFavaiteel’odsl—leh if; E PCF‘IETean —J!l IIEI'IS E we: Slice Gallery v i'..1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz Score: 1.33 ofit pts 4 5 org 7 p @1145” Consider the toiletring table showing speed limits and death rates from automobile accidents in selected countries. Complete parts a and h.
a Click the icon to View the talole. ‘vti'n Dealh rate
Speed limit [mphj
Dealti rate Speed limit {mph} Death rate Sp
b. Calculate the correlation coefﬁcient of the data. Eln'eﬁy characten'ze the correlation in words [for example, moderate positive correlation, weal: negative correlation r = l].55§lll [Round to two decimal places as needed.) Characterize the correlation in words. There is a moderate positive! correlation. Question is complete. Tap on the red indicators to see incorrect answers. {—r Review Test  Ted Gauckler  Internet Explorer r I hthasﬂ'w'ww.maﬁ'iidcomll'StJJdentl'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁaidtler X [ HeEﬁtﬁewFavaileel’oolsl—leh g E PCPIETeaIn —J!l lime E we: Slice Gallery v i'..1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:tot4pts 4 EofElY m
(19 7.1.23T Consider the accompanying table showing the average hours of television watched in households in ﬁve categories of annual inc ome, and complete parts {a} througl
a Click here to yiey.r the table. Weekly T'I.II hour
Weekly T'I.II hour
Weekly T'I.I' hour 2t] ﬁﬂ Bl] EE} 5!] BG 2U lnoome {thousands ofdollars} Income {thousands of dollars} Income b. Calculate the correlation coefﬁcient and brieﬂy characterize the correlation in words. r = — DBtT [Round to two decimal places as needed.) There is a strong negatiyi; correlation. e. Do you think these data imply that you can increase your income simply by watching less T‘y"? Explain. Choose the correct answer below. {I  l''. The data imply that you can increase your income by watching less TV because correlation equals causation.
1'" 3. The data do not imply that you can increase your income by watching less TV because correlation does not equal causation. Question is complete. Tap on the red indicators to see incorrect answers. {—r Review Test  Ted Gauckler  Internet Explorer r I hthasﬂ ﬁ'udcomll'StJJdentl'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁaidtler X [ HeEﬁtﬁewFavailesl’oolsl—leh if; E PCF‘IETean —J!l lime E we: Slice Gallery v i'..1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:3ot4pts 4 EofElY p (19 7.1.23T Consider the accompanying table showing the average hours of television watched in households in tire categories of annual inc ome, and complete parts {a} througl
ﬂ l[Illiclr here to tries.r the table. Weekly T'I.II hours
Weekly T'I.II hours
Weekly T'I.I' hours 2t} 50 St} 20 5!} BI} 20' lnooma {thousands ofdollars} lnooma {thousands of dollars} lnoon'ia b. Calculate the correlation coefﬁcient and brieﬂy characterize the correlation in words. r = — (13? [Round to two decimal places as needed.) There is a strong negative correlation. Question is complete. Tap on the red indicators to see incorrect answers. {—r Reyiew Test  Ted Gauckler  Internet Explorer r I hthasﬂ'a'ww.maﬁ'ttdcomll'StJJdentl'PlayerTest.aspxi ,D V ReﬁewTat—Tedﬁatdtler X [ HeEritﬁewFayaitﬂel'odslleh if; E PCPIETeaIn an] Itans E we: Slice Gallery v i'..1t.t E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:ﬂot4pts 4 rota? p ® 7.1.24T Consider the following table showing January mean monthly precipitation and mean daily high temperature for ten cities. Complete parts a through c.
a Click the icon to view the talole. High temperature
High temperature Precipitation [inoh Precipitation ﬁnches] High temperature (F)
b. Calculate the correlation coefﬁcient and brieﬂy characterize the correlation in words. r = — [130‘ [Round to two decimal places as needed.) . _ "'l .
There Isa weak negatlye correlation. c. Can you dray.r any general conclusions about January temperatures and precipitation from these data? {2* l1. Precipitation and mean high temperature are fairly uncorrelated.
3. Precipitation and mean high temperature are fairly correlated. Question is complete. Tap on the red indicators to see incorrect answers. Pre {i Review Test  Ted Gauckler  Internet Explorer r ' hthas:,.",l"w"w"w.maﬁ'itd.t:om,l'StJ_ident,l'PlaverTest.aspxi ,D V ReviewTat—Tedﬁatdtler X [ HeEﬁtﬁewFavaitnsl’odsl—leh if; E PCPIETeaIn —J!l Hare E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:2of4pts 4 Sofia? m @ 7.2.13 For the description below, state the correlation clearly. [For example, state that "there is a positive correlation between variable A and variable EL") Then state 1.vl'ieth
underlying cause, or a direct cause. Explain your answer. It has been found that as the number of trafﬁc lights increases, the number of car crashes also increases. 1il'ii'hat is the correlation? it. There is weak negative correlation between the number of trafﬁc lights and the number of car crashes.
3. There is strong negative correlation between the number of trafﬁc lights and the number of car crashes.
J'l I22. There is no correlation between the number of trafﬁc lights and the number of car crashes.
* 3. There is positive correlation between the number of trafﬁc lights and the number of car crashes. Is the correlation most likelv due to coincidence, a common underlving cause, or a direct cause? L'" i— The correlation is most liltelv due to a common underlving cause, such as the general increase in the number of cars and trafﬁc. 3. The correlation is most liltelv due to a coincidence. An increase in trafﬁc lights does not affect the number of car crashes.
'3. The correlation is most lilucel'_u..r due to a common underlving cause, such as the general decrease in the number of cars and trafﬁc. '. The correlation is most liluceliir due to a direct cause. An increase in trafﬁc lights leads to an increase in car crashes. Question is complete. Tap on the red indicators to see incorrect answers. {i Review Test  Ted Gauckler  Internet Explorer r ' hthasﬂwlnw.maﬁiﬂmmmedeentl'PlaverTest.aspxi ,D V ReviewTat—Tedﬁardtler X [ HeEﬁtﬁewFavaitesl’odsl—leh g E PCPIETeaIn —J!l Hare E Web Slice Gallery v i'.'1t.‘ E III.T : Stati sti c Review Quiz: Unit 5 Quiz 5core:ﬂof4pts E Sofia? p Q) 7.2.15 For the description below, state the correlation clearly. [For example, state that "there is a positive correlation between variable A and variable EL") Then state 1.vl'ieth
underlying cause. or a direct cause. Explain your answer. It has been found that as gas prices increase, the distances vehicles are driven tend to get shorter. 1il'ii'hat is the correlation? J'l There is weak positive correlation between gas prices and the distances vehicles are driven. There is strong positive correlation between gas prices and the distances vehicles are driven.
There is no correlation between gas prices and the distances vehicles are driven. .' I_.'_II _..L El"Jr * _.. There is negative correlation between gas prices and the distances vehicles are driven. Is the correlation most likelv due to coincidence, a common underlving cause, or a direct cause? r— The correlation is most liltelv due to a coincidence. An increase in gas price does not affect distances traveled. J'l E. The correlation is most liltelv due to a direct cause. As gas prices increase by large amounts, people want to purchase more gas.
(3. The correlation is most lilucel'_u..r due to a common underlving cause. As gas prices increase bv large amounts, people want to purchase more gas.
* :1. The correlation is most liluceliir due to a direct cause. As gas prices increase by large amounts, people can't afford to drive as much, so thev cut costs by driving Question is complete. Tap on the red indicators to see incorrect answers. ...
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 Fall '16
 MOWEN
 Statistics, Correlation, Internet Explorer, Correlation does not imply causation, Covariance and correlation, Ted Gauckler

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