The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain

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The data provides information on life expectancy and the number of televisions per thousand people in a sample of 22 countries, as reported by the world almanac and book of facts 2006 A. Describe the Direction and strength of the correlation between the two variables B. Because of the association between the variables, someone might mistakenly conclude that simply sending televisions to the countries with the lower life expectancies would cause their inhabitants to live longer. Comment on this argument and the reason televisions are likely associated with longer life expectancies C. In general, if two variables are strongly associated, does it follow there must be a cause and effect relationship between them? Explain
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123-
Arlal
10
BISA
D
G
H
Life Expectancy
100
75
50
25
TVs per K
1000
750
500
250
MacBook Air
TVs per K
Life Expectancy
Transcribed Image Text:a Tools Extensions Help Last edit was seconds ago 123- Arlal 10 BISA D G H Life Expectancy 100 75 50 25 TVs per K 1000 750 500 250 MacBook Air TVs per K Life Expectancy
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