Carbon Monoxide Tar (mg) weight (g) 13.6 14.1 0.9853 16.6 16 1.0938 23.5 29.8 1.165 10.2 8 0.928 5.4 4.1 0.9462 15 15 0.8885 9 8.8 1.0267 12.3 12.4 0.9225 16.3 16.6 0.9372 15.4 14.9 0.8858 13 13.7 0.9643 14.4 15.1 0.9316 10 7.8 0.9705 10.2 11.4 1.124 9.5 0.8517 1.5 1 0.7851 18.5 17 0.9186 12.6 12.8 1.0395 17.5 15.8 0.9573 4.9 4.5 0.9106 15.9 14.5 1.007 8.5 7.3 0.9806 10.6 8.6 0.9693 13.9 15.2 0.9496 14.9 12 1.1184
Correlation
Correlation defines a relationship between two independent variables. It 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.
Linear Correlation
A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.
Regression Analysis
Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.
Which is a better predictor of the amount of tar in a cigarette? The amout of carbon monoxide in the cigarette or the weight of the cigarette? Support your answer using approprate statistics.

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