Date Cases Deaths 0 Date Cases 722 Deaths 50 Oct. 5 36 Dec. 7 Oct. 12 531 0 Dec. 14 1517 71 Oct. 19 4233 130 Dec. 21 1828 137 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 deaths = 30 +3₁(explanatory variable) Provide the numerical value of 3₁. Round your final answer to 4 decimal places. Nov. 30 57 56 Find the least-squares line for predicting weekly deaths for the choice of explanatory variable that gives the best predictions; where least-squares line has the form:

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.8: Probability
Problem 32E
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[STATISTICS] How do you solve this?

Date
Cases 36
Deaths
0
Date
Dec. 7
Cases
722
Deaths 50
Oct. 5
Oct. 12
531
0
Dec. 14
1517
71
Oct. 19
4233
130
Dec. 21
1828
137
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
deaths=Bo + B₁ (explanatory variable)
Provide the numerical value of 3₁. Round your final answer to 4 decimal places.
Nov. 30
57
56
Find the least-squares line for predicting weekly deaths for the choice of explanatory variable that gives the
best predictions; where least-squares line has the form:
Transcribed Image Text:Date Cases 36 Deaths 0 Date Dec. 7 Cases 722 Deaths 50 Oct. 5 Oct. 12 531 0 Dec. 14 1517 71 Oct. 19 4233 130 Dec. 21 1828 137 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 deaths=Bo + B₁ (explanatory variable) Provide the numerical value of 3₁. Round your final answer to 4 decimal places. Nov. 30 57 56 Find the least-squares line for predicting weekly deaths for the choice of explanatory variable that gives the best predictions; where least-squares line has the form:
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