(b) Determine the equation of the least-squares line for prediction heart diesease death rate from wine consumption using the data in the table. DEATHRT = + ALCOHOL Determine the correlation. (c) Interpret the correlation. O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will be fairly accurate. O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will Not be fairly accurate. O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will be fairly accurate. O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will Not be fairly accurate. About what percent of the variation among countries in heart disease death rates is explained by the straight-line relationship with wine consumption? %

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(b) Determine the equation of the least-squares line for prediction heart diesease death rate from wine
consumption using the data in the table.
ALCOHOL
DEATHRT =
Determine the correlation.
(c) Interpret the correlation.
O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will
be fairly accurate.
O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will
Not be fairly accurate.
O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will
be fairly accurate.
O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will
Not be fairly accurate.
About what percent of the variation among countries in heart disease death rates is explained by the straight-line
relationship with wine consumption?
Transcribed Image Text:(b) Determine the equation of the least-squares line for prediction heart diesease death rate from wine consumption using the data in the table. ALCOHOL DEATHRT = Determine the correlation. (c) Interpret the correlation. O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will be fairly accurate. O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will Not be fairly accurate. O The correlation is close to -1, indicating that the predictions of death rate from wine consumption will be fairly accurate. O The correlation is close to -1, indicating that the predictions of wine consumption from death rate will Not be fairly accurate. About what percent of the variation among countries in heart disease death rates is explained by the straight-line relationship with wine consumption?
The table below gives data on average per capita wine consumption and heart disease rates in 19 countrie
TABLE 3.6 Wine consumption and heart disease
Alcohol
Heart disease
Alcohol
Heart disease
from wine
from wine
death rate
death rate
(liters/year) (per 100,000)
Country
Country
(liters/year) (per 100,000)
Australia
2.5
1.8
167
Netherlands
New Zealand
211
Austria
3.9
167
1.9
266
0.8
227
Belgium/Lux.
Canada
2.9
131
Norway
Spain
Sweden
2.4
191
6.5
86
Denmark
2.9
220
1.6
207
5.8
115
Switzerland
United Kingdom
United States
West Germany
Finland
0.8
297
France
9.1
71
1.3
285
Iceland
0.8
211
1.2
199
Ireland
0.7
300
2.7
172
Italy
7.9
107
Source: M. H. Criqui, University of California, San Diego, reported in the New York Times, December 28.
1994.
Transcribed Image Text:The table below gives data on average per capita wine consumption and heart disease rates in 19 countrie TABLE 3.6 Wine consumption and heart disease Alcohol Heart disease Alcohol Heart disease from wine from wine death rate death rate (liters/year) (per 100,000) Country Country (liters/year) (per 100,000) Australia 2.5 1.8 167 Netherlands New Zealand 211 Austria 3.9 167 1.9 266 0.8 227 Belgium/Lux. Canada 2.9 131 Norway Spain Sweden 2.4 191 6.5 86 Denmark 2.9 220 1.6 207 5.8 115 Switzerland United Kingdom United States West Germany Finland 0.8 297 France 9.1 71 1.3 285 Iceland 0.8 211 1.2 199 Ireland 0.7 300 2.7 172 Italy 7.9 107 Source: M. H. Criqui, University of California, San Diego, reported in the New York Times, December 28. 1994.
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