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Another cigarette. Consider again the regression of Nicotine content on Tar (both in milligrams) for the cigarettes examined in given Exercise.
a) What is the correlation between Tar and Nicotine?
b) What would you predict about the average Nicotine content of cigarettes that are 2 standard deviations below average in Tar content?
c) If a cigarette is 1 standard deviation above average in Nicotine content, what do you suspect is true about its Tar content?
Exercise:Cigarettes. Is the nicotine content of a cigarette related to the "tars"? A collection of data (in milligrams) on 29 cigarettes produced the scatterplot, residuals plot, and regression analysis shown:
a) Do you think a linear model is appropriate here? Explain.
b) Explain the meaning of R2 in this context.
same question that i have asked earlier but need to derive the objective function and constraints and solved using
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Test the hypothesis that the true Pearson correlation (p) is significantly different from zero. Provide a (p) value (two-tail) n=12. Correlation intake is .448 for the two recording methods.
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Make a scatterplot for these data.- Describe the direction, form, and strength of the plot.- Find the correlation between horsepower and miles per gallon.- Write a few sentences telling what the plot says about fuel economy.
Carry out a survey to estimate a proportion in a population of your choice. Examples include the proportion of vehicles with only one occupant and the proportion of a university campus covered by tree canopy.
No, there is not enough information to refuse hypothesis that proportion of male students who live on campus and proportion of female students who live on campus are same as the test value -1.65 is inside acceptance region (-1.96,1.96).
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