The data are summarized in the following table. The variables are per capita cigarette consumption in 1930 (the independent variable, “X") and the death rate from lung cancer in 1950 (the dependent variable, “Y"). The cancer rates are shown for a later time period because it takes time for lung cancer to develop and be diagnosed. Country Cigarettes consumed per capita in 1930 (X) | million people in 1950 (Y) |Observation # Lung cancer deaths per 1 Switzerland Finland Great Britain 530 1115 1145 250 350 2 3 4 465 150 165 Canada 510 5 Denmark 380
The data are summarized in the following table. The variables are per capita cigarette consumption in 1930 (the independent variable, “X") and the death rate from lung cancer in 1950 (the dependent variable, “Y"). The cancer rates are shown for a later time period because it takes time for lung cancer to develop and be diagnosed. Country Cigarettes consumed per capita in 1930 (X) | million people in 1950 (Y) |Observation # Lung cancer deaths per 1 Switzerland Finland Great Britain 530 1115 1145 250 350 2 3 4 465 150 165 Canada 510 5 Denmark 380
The data are summarized in the following table. The variables are per capita cigarette consumption in 1930 (the independent variable, “X") and the death rate from lung cancer in 1950 (the dependent variable, “Y"). The cancer rates are shown for a later time period because it takes time for lung cancer to develop and be diagnosed. Country Cigarettes consumed per capita in 1930 (X) | million people in 1950 (Y) |Observation # Lung cancer deaths per 1 Switzerland Finland Great Britain 530 1115 1145 250 350 2 3 4 465 150 165 Canada 510 5 Denmark 380
Note: please do not use functions like ‘Correl’ in Excel, please calculate sample slope with the formula, if you use a spreadsheet, attach a printout.
Thank you!
Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.
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