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Suppose paired data consisting of cholesterol levels and body mass index (BMI) levels for 40 randomly selected women yield a linear correlation coefficient of r = 0.482.
Find the percentage of the variation in BMI that can be explained by the linear association between cholesterol level and BMI.
Explain and interpret your results.
Production yields vary and can be high or low on a given day. If they are high, you want to find out why so that yields could be similarly increased.
What correlation coefficient is appropriate for this type of data?
Would the university be correct in thinking that $75,000 was a good approximation to the average salary level of all of its graduates? Explain the reasoning behind your answer.
Make a scatterplot of the data. Find the equation of the least-squares regression line for predicting BAC from number of beers and add this line to your plot. Briefly summarize what your data analysis shows.
Is there a difference among ages of students who are vegetarians, non-vegetarians, or sometimes-vegetarians?
Outline the analysis of variance table giving the sources of variation and numerical values for the degrees of freedom.
assume that 1 of all tires of a particular brand are defective due to a problem with a supplier of an important
Under an income protection policy, Ellen Tucker, who has been disabled, is receiving $4000 a month. Ellen has made a good recovery
Open this data set and obtain the mean and the standard deviation of the number of friends in the sample. Summarize these data.
the probability of getting a defective widget is .10. you select five widgets for thenational widget championshipa.
assume the distribution of heights among all 15 year old boys is normally distributed with mean 67 and standard
In a recent study of incomes in Allegheny county in Pennsylvania it was found that distribution of family incomes is skew to the right. what can we say about the relationship between mean and median?
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