Hours per month under influence = 49.2 1.15 BMI Also, r 2 = 0.134. How effective

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Hours per month under influence = 49.2 1.15 BMI

Also, r2 = 0.134.

How effective is the regression model for these data?

intrigued by a 2013 study at the University of Nebraska, which suggested that marijuana smokers may be thinner than other adults, a group of students did a project to explore the relationship between body mass index (BMI) and amount of time spent under the influence of marijuana (measured in hours per week). Based on a random sample of 33 students at their university, they used BMI as the response variable.

The equation of the least-squares regression line is

Hours per month under influence = 49.2 1.15 BMI

Also, r2 = 0.134.

How effective is the regression model for these data?

not effective, because only 13.4% of the variation in the data is explained by the model not effective, because only 36.6% of the variation in the data is explained by the model extremely effective, because 36.6% of the variation in the data is explained by the model extremely effective, because 13.4% of the variation in the data is explained by the model

Explanation / Answer

here as r2 is a measure of variation explained by model

therefore not effective, because only 13.4% of the variation in the data is explained by the model

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