An article in the Joumal of Seund and Vibranon (Vel. 151, 1991, pe. 303-94) cescribed a study investigating the relationship between neise pre and hypertension. The ullowing data e rerrtative those reorted in the article. 1 65 6 90 2 70 90 5 70 4 90 1 70 5 90 4 00 7 H 909 100 2 00 7 100 30 100 Fit a lnear regresslen model retating tlood pressure rise in at emarcury () to soand presure level in decibetls (n) uning keast Does a simple linear regression model seem reasonable in this situation? What are the least squares estimate of the intercept? Does a simple linear regression model (intercept) seem reasonable in this situation? Input Yes or No. Blank 1 What are the least squares estimate of the intercept? Input answer up to 3 decimal places, i.e, 0.000. Blank 2

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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Chapter10: Statistics
Section10.1: Measures Of Center
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An article in the Joumal of Sound and Vibranon (Vol. 151, 1991, pp. 383-394) described a study investigating the relationship between noise
exposure and hypertension. The following data e represertative of those reported in the article.
1 60 5 85
O 63 4 89
1 65 6 90
2 70 8 90
5 70 4 90
1 70 5 90
4 80 7 94
6 90 9 100
2 00 7 100
3 80 6 100
Fit a linear regression model relating blood pressure rise in millmeters of mercury () to sound pressure level in decibels (x) using least
squares.
Does a simple linear regression model seem reasonable in this situation? What are the least squares estimate of the intercept?
Does a simple linear regression model (intercept) seem reasonable in this situation? Input Yes or No.
Blank 1
What are the least squares estimate of the intercept? Input answer up to 3 decimal places, i.e., 0.000.
Blank 2
Blank 1
Add your answer
Blank 2
Add your answer
Transcribed Image Text:An article in the Joumal of Sound and Vibranon (Vol. 151, 1991, pp. 383-394) described a study investigating the relationship between noise exposure and hypertension. The following data e represertative of those reported in the article. 1 60 5 85 O 63 4 89 1 65 6 90 2 70 8 90 5 70 4 90 1 70 5 90 4 80 7 94 6 90 9 100 2 00 7 100 3 80 6 100 Fit a linear regression model relating blood pressure rise in millmeters of mercury () to sound pressure level in decibels (x) using least squares. Does a simple linear regression model seem reasonable in this situation? What are the least squares estimate of the intercept? Does a simple linear regression model (intercept) seem reasonable in this situation? Input Yes or No. Blank 1 What are the least squares estimate of the intercept? Input answer up to 3 decimal places, i.e., 0.000. Blank 2 Blank 1 Add your answer Blank 2 Add your answer
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