In 1918 and 1919 a worldwide outbreak of influenza killed more than 25 million people. Data on the number of new influenza cases and the number of deaths from the epidemic in San Francisco week by week from October 5, 1918, to January 25, 1919 is shown in the following table. The date given is the last day of the week. Oct. 5 Date Cases 36 Deaths 10 Date Cases Deaths 50 Dec. 7 722 Oct. 12 Oct. 19 531 4233 0 130 Dec. 21 1828 137 Dec. 14 1517 71 Oct. 26 8682 552 Dec. 28 1539 178 Nov. 2 7164 738 Jan. 4 2416 194 Nov. 9 2229 414 Jan. 11 3148 290 Nov. 16 600 198 Jan. 18 3465 310 Nov. 23 164 90 Jan. 25 1440 149 Nov. 30 57 56 We expect the number of deaths to lag behind the number of new cases because the disease takes some time to kill its victims. Please make three scatterplots of deaths (the response variable) against each of new cases the same week, new cases one week earlier, and new cases two weeks earlier. Find the numerical value of the sample correlation coefficient that goes with your first plot (deaths vs new cases the same week). Round your final answer to 4 decimal places.
In 1918 and 1919 a worldwide outbreak of influenza killed more than 25 million people. Data on the number of new influenza cases and the number of deaths from the epidemic in San Francisco week by week from October 5, 1918, to January 25, 1919 is shown in the following table. The date given is the last day of the week. Oct. 5 Date Cases 36 Deaths 10 Date Cases Deaths 50 Dec. 7 722 Oct. 12 Oct. 19 531 4233 0 130 Dec. 21 1828 137 Dec. 14 1517 71 Oct. 26 8682 552 Dec. 28 1539 178 Nov. 2 7164 738 Jan. 4 2416 194 Nov. 9 2229 414 Jan. 11 3148 290 Nov. 16 600 198 Jan. 18 3465 310 Nov. 23 164 90 Jan. 25 1440 149 Nov. 30 57 56 We expect the number of deaths to lag behind the number of new cases because the disease takes some time to kill its victims. Please make three scatterplots of deaths (the response variable) against each of new cases the same week, new cases one week earlier, and new cases two weeks earlier. Find the numerical value of the sample correlation coefficient that goes with your first plot (deaths vs new cases the same week). Round your final answer to 4 decimal places.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.6: Summarizing Categorical Data
Problem 26PPS
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Transcribed Image Text:In 1918 and 1919 a worldwide outbreak of influenza killed more than 25 million people. Data on the number
of new influenza cases and the number of deaths from the epidemic in San Francisco week by week from
October 5, 1918, to January 25, 1919 is shown in the following table. The date given is the last day of the
week.
Date
Cases 36
Deaths
0
Date
Cases
Deaths 50
Oct. 5
Dec. 7
722
Oct. 12
531
0
Dec. 14
1517
71
Oct. 19
4233
130
Dec. 21
1828
137
Oct. 26 Nov. 2
8682
7164
552
738
Dec. 28
Jan. 4
1539
2416
178
194
Nov. 9 Nov. 16
2229
600
414
198
Jan. 11
Jan. 18
3148
3465
290
310
Nov. 23
164
90
Jan. 25
1440
149
Nov. 30
57
56
We expect the number of deaths to lag behind the number of new cases because the disease takes some time
to kill its victims.
Please make three scatterplots of deaths (the response variable) against each of new cases the same week,
new cases one week earlier, and new cases two weeks earlier. Find the numerical value of the sample
correlation coefficient that goes with your first plot (deaths vs new cases the same week).
Round your final answer to 4 decimal places.
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