2. In a study conducted by the tobacco company, it was found that the years lived of a person was negatively correlated with number of cigarettes smoked per day. In another study, a sample is taken and the data on number of cigarettes smoked per day and years lived are collected. The data is shown as follows. No. of cigarettes per day 8 22 35 40 42 50 60 78 82 Years lived 71 62 68 61 59 53 50 45 65 a) Identify the independent and dependent variables. b) Draw a scatter diagram and give comment. c) Calculate correlation coefficient (r) and interpret its value.

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2. In a study conducted by the tobacco company, it was found that the years lived of a person was
negatively correlated with number of cigarettes smoked per day. In another study, a sample is taken
and the data on number of cigarettes smoked per day and years lived are collected. The data is shown
as follows.
No. of cigarettes per day 8
22
40 | 42
50
60
78 82
35
Years lived
71 62
68
61
59
53
50
45
65
a) Identify the independent and dependent variables.
b) Draw a scatter diagram and give comment.
c) Calculate correlation coefficient (r) and interpret its value.
d) Calculate the coefficient of determination (r2) and interpret its value.
e) Find the predicted regression model. Hence, interpret the regression coefficient.
f) Does the recent study support the previous findings?
Transcribed Image Text:2. In a study conducted by the tobacco company, it was found that the years lived of a person was negatively correlated with number of cigarettes smoked per day. In another study, a sample is taken and the data on number of cigarettes smoked per day and years lived are collected. The data is shown as follows. No. of cigarettes per day 8 22 40 | 42 50 60 78 82 35 Years lived 71 62 68 61 59 53 50 45 65 a) Identify the independent and dependent variables. b) Draw a scatter diagram and give comment. c) Calculate correlation coefficient (r) and interpret its value. d) Calculate the coefficient of determination (r2) and interpret its value. e) Find the predicted regression model. Hence, interpret the regression coefficient. f) Does the recent study support the previous findings?
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