MindTap Business Statistics, 2 terms (12 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran’s Modern Business Statistics with Microsoft Office Excel, 6th (MindTap Course List)
MindTap Business Statistics, 2 terms (12 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran’s Modern Business Statistics with Microsoft Office Excel, 6th (MindTap Course List)
6th Edition
ISBN: 9781337115391
Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Publisher: Cengage Learning
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Chapter 16.2, Problem 14E

A 10-year study conducted by the American Heart Association provided data on how age, systolic blood pressure, and smoking relate to the risk of strokes. Data from a portion of this study follow. Risk is interpreted as the probability (times 100) that a person will have a stroke over the next 10-year period. For the smoker variable, 1 indicates a smoker and 0 indicates a nonsmoker.

Chapter 16.2, Problem 14E, A 10-year study conducted by the American Heart Association provided data on how age, systolic blood

  1. a. Develop an estimated regression equation that can be used to predict the risk of stroke given the age and blood-pressure level.
  2. b. Consider adding two independent variables to the model developed in part (a), one for the interaction between age and blood-pressure level and the other for whether the person is a smoker. Develop an estimated regression equation using these four independent variables.
  3. c. At a .05 level of significance, test to see whether the addition of the interaction term and the smoker variable contribute significantly to the estimated regression equation developed in part (a).
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Apply STATA commands & submit the output for each question only when indicated below i. Apply the command egen to create a variable called "wyd" which is the rowtotal function on variables bwght & faminc. ii. Apply the list command for the first 10 observations to show that the code in part i worked. Include the outcome of this code iii. Apply the egen command to create a new variable called "bwghtsum" using the sum function on variable bwght by the variable high_faminc (Note: need to apply the bysort' statement) iv. Apply the "by high_faminc" statement to find the V. descriptive statistics of bwght and bwghtsum Include the output of this code. Why is there a difference between the standard deviations of bwght and bwghtsum from part iv of this question?
According to a health information website, the distribution of adults’ diastolic blood pressure (in millimeters of mercury, mmHg) can be modeled by a normal distribution with mean 70 mmHg and standard deviation 20 mmHg. b. Above what diastolic pressure would classify someone in the highest 1% of blood pressures? Show all calculations used.

Chapter 16 Solutions

MindTap Business Statistics, 2 terms (12 months) Printed Access Card for Anderson/Sweeney/Williams/Camm/Cochran’s Modern Business Statistics with Microsoft Office Excel, 6th (MindTap Course List)

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