What is the equation to predict mortality rates from obesity rates? O Mortality.rate = 13.458199 - 0.21749489 Obesity.rate Obesity.rate == 13.458199 0.21749489 Mortality.rate O Mortality.rate Mortality.rate 13.458199 - 0.0067 Obesity.rate = 13.458199 + 0.21749489 Obesity.rate

Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter2: Equations And Inequalities
Section2.6: Inequalities
Problem 80E
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Homework 2.2-2.4
25. Colorectal cancer (CRC) is the third most commonly diagnosed cancer among Americans (with nearly 147,000 new cases), and the third leading cause of cancer death (with over 50,000 deaths annually). Research was
done to determine whether there is a link between obesity and CRC mortality rates among African Americans in the United States by county. Below are the results of a least-squares regression analysis from the
software StatCrunch.
Simple linear regression results:
Dependent Variable: Mortality.rate
Independent Variable: Obesity.rate
Mortality.rate = 13.458199 - 0.21749489 Obesity.rate
Sample size: 3098
R (correlation coefficient) = -0.0067
R-sq = 4.5304943E-5
Estimate of error standard deviation: 111.20661
Parameter estimates:
Parameter Estimate
Std. Err. Alternative DF
T-Stat
P-Value
Intercept
13.458199 15.9797735
+0 3096 0.84220207 0.3997
Slope
-0.21749489 0.5807189
#0 3096 -0.37452698
0.708
Analysis of variance table for regression model:
Source DF
MS
F-stat
P-value
Model
1
1734.7122 1734.7122 0.14027046
0.708
Error
3096 3.8287952E7 12366.91
Total
3097 3.8289688E7
What is the equation to predict mortality rates from obesity rates?
O Mortality.rate = 13.458199 - 0.21749489 Obesity.rate
O Obesity.rate = 13.458199 - 0.21749489 Mortality.rate
O Mortality.rate = 13.458199 + 0.21749489 Obesity.rate
O Mortality.rate = 13.458199 - 0.0067 Obesity.rate
26. Colorectal cancer (CRC) is the third most commonly diagnosed cancer among Americans (with nearly 147,000 new cases), and the third leading cause of cancer death (with over 50,000 deaths annually). Research was
done to determine whether there is a link between obesity and CRC mortality rates among African Americans in the United States by county. Below are the results of a least-squares regression analysis from the
software StatCrunch,
Simple linear regression results:
Dependent Variable: Mortality.rate
Indenendent Variahle: Obesitv rate
Remaining: 53:59 Start: 10:52 PM
Save
Submit
11:06 PM
P Type here to search
a 4)
ENG
16
2/10/2021
Priscn
Hom
Transcribed Image Text:9 Topic: Zo X S Inbox (56 x M Your Stat X O Launch MX Sign In - x O Sign In - x Sign In - x Sign In - x A Homewo x b Answere x A macmillanhighered.com/launchpad/ips9e/15932912#/launchpad/item/PX_MULTIPART LESSONS/de3d664e83174ac98724d7e0fba050b5?mode3startQuiz&re. Q * E Apps a Amazon.com - Onli. P Priceline.com O TripAdvisor I Imported From IE Various Artists - We.. watch O Episode 09: Home F.. a9 Doctor Shortage: C. X XFINITY On Campus * Done Homework 2.2-2.4 25. Colorectal cancer (CRC) is the third most commonly diagnosed cancer among Americans (with nearly 147,000 new cases), and the third leading cause of cancer death (with over 50,000 deaths annually). Research was done to determine whether there is a link between obesity and CRC mortality rates among African Americans in the United States by county. Below are the results of a least-squares regression analysis from the software StatCrunch. Simple linear regression results: Dependent Variable: Mortality.rate Independent Variable: Obesity.rate Mortality.rate = 13.458199 - 0.21749489 Obesity.rate Sample size: 3098 R (correlation coefficient) = -0.0067 R-sq = 4.5304943E-5 Estimate of error standard deviation: 111.20661 Parameter estimates: Parameter Estimate Std. Err. Alternative DF T-Stat P-Value Intercept 13.458199 15.9797735 +0 3096 0.84220207 0.3997 Slope -0.21749489 0.5807189 #0 3096 -0.37452698 0.708 Analysis of variance table for regression model: Source DF MS F-stat P-value Model 1 1734.7122 1734.7122 0.14027046 0.708 Error 3096 3.8287952E7 12366.91 Total 3097 3.8289688E7 What is the equation to predict mortality rates from obesity rates? O Mortality.rate = 13.458199 - 0.21749489 Obesity.rate O Obesity.rate = 13.458199 - 0.21749489 Mortality.rate O Mortality.rate = 13.458199 + 0.21749489 Obesity.rate O Mortality.rate = 13.458199 - 0.0067 Obesity.rate 26. Colorectal cancer (CRC) is the third most commonly diagnosed cancer among Americans (with nearly 147,000 new cases), and the third leading cause of cancer death (with over 50,000 deaths annually). Research was done to determine whether there is a link between obesity and CRC mortality rates among African Americans in the United States by county. Below are the results of a least-squares regression analysis from the software StatCrunch, Simple linear regression results: Dependent Variable: Mortality.rate Indenendent Variahle: Obesitv rate Remaining: 53:59 Start: 10:52 PM Save Submit 11:06 PM P Type here to search a 4) ENG 16 2/10/2021 Priscn Hom
Expert Solution
Step 1

the predict mortality rates from obesity rates 

the normal regression equation is Y = a + b X 

here Y is dependent variable 

b is slope 

a is intercept 

X is independent variable 

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