What fraction of the variation in mortality rates is explained by the least-squares regression? -0.0067 O 13.45 The least-squares regression line always passes through the point O (0,0) O G.y) O (median of x, median of y) O None of these

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Homework 2.2-2.4
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
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
SS
MS
F-stat
P-value
Model
1
1734.7122 1734.7122 0.14027046
0.708
Error
3096 3.8287952E7
12366.91
Total 30973.8289688E7
What fraction of the variation in mortality rates is explained by the least-squares regression?
O o
O 1
O -0.0067
O 13,45
27. The least-squares regression line always passes through the point
O (0,0)
O (7,y)
O (median of x, median of y)
O None of these answers are correct.
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Transcribed Image Text:i macmillanhighered.com/launchpad/ips9e/15932912#/launchpad/item/PX_MULTIPART_LESSONS/de3d664e83174ac98724d7eOfba050b5?mode%=startQuiz&re.. E Apps a Amazon.com - Onli. 2 Priceline.com O TripAdvisor O watch O Imported From IE Various Artists - We. 9 Episode 09: Home F. Doctor Shortage: C. X XFINITY On Campus A Done Homework 2.2-2.4 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 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 SS MS F-stat P-value Model 1 1734.7122 1734.7122 0.14027046 0.708 Error 3096 3.8287952E7 12366.91 Total 30973.8289688E7 What fraction of the variation in mortality rates is explained by the least-squares regression? O o O 1 O -0.0067 O 13,45 27. The least-squares regression line always passes through the point O (0,0) O (7,y) O (median of x, median of y) O None of these answers are correct. Remaining: 46:59 Start: 10:52 PM Save Submit P Type here to search 11:12 PM (16 ENG 2/10/2021 %23 PrtScn F3 Home End PgDn @
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