Question

A statistical program is recommended.

A 10-year study conducted by the American Heart Association provided data on how age, 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.

Risk | Age | Blood Pressure |
Smoker |
---|---|---|---|

12 | 57 | 152 | 0 |

24 | 67 | 163 | 0 |

13 | 58 | 155 | 0 |

56 | 86 | 177 | 1 |

28 | 59 | 196 | 0 |

51 | 76 | 189 | 1 |

18 | 56 | 155 | 1 |

31 | 78 | 120 | 0 |

37 | 80 | 135 | 1 |

15 | 78 | 98 | 0 |

22 | 71 | 152 | 0 |

36 | 70 | 173 | 1 |

15 | 67 | 135 | 1 |

48 | 77 | 209 | 1 |

15 | 60 | 199 | 0 |

36 | 82 | 119 | 1 |

8 | 66 | 166 | 0 |

34 | 80 | 125 | 1 |

3 | 62 | 117 | 0 |

37 | 59 | 207 | 1 |

Using age, blood pressure, and whether a person is a smoker,
develop an estimated regression equation that can be used to
predict risk. Use *x*_{1} for age,
*x*_{2} for blood pressure, and
*x*_{3} for whether a person is a smoker. (Round
your constant term to one decimal place and coefficients to three
decimal places.)

ŷ =

Answer #1

The statistical software output for this problem is:

Hence,

= -91.8 + 1.077x1 + 0.252x2 + 8.740x3

A 10-year study conducted by the American Heart Association
provided data on how age, 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.
Risk
Age
Blood
Pressure
Smoker
12
57
152
0
24
67
163
0
13
58...

A 10 year study conducted by the American Heart Association
provided data on how age, blood pressure, and smoking relate to the
risk of strokes. Assume that the following data are from a portion
of the study. Risk is interpreted as the probability that the
patient will have a stroke over the next 10 year period. For the
smoking variable, define a dummy variable 1 with indicating a
smoker and 0 indicating a non-smoker.
Risk
Age
Pressure
Smoker
12
57...

A 10-year study conducted by the American Heart Association
provided data on how age, blood pressure, and smoking relate to the
risk of strokes. Data from a portion of this study are contained in
the Excel Online file below. 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. Construct a spreadsheet to answer the
following questions....

The data (bloodpressure) (first column is ID) gives the systolic
blood pressure (SBP), body size (QUET), age and smoking history
(SMK=0 if nonsmoker, SMK=1 if smoker) for a hypothetical sample of
32 white males over 40 years old from the town of Angina. In the
problem, we will choose SBP as the response. The two variables QUET
and SMK will be considered. Answer the following questions about
the separate straight-line regression of SBP on QUET for smokers
(SMK=1) and nonsmoker...

You want to see if there is a statistical difference between the
two groups. Run descriptives and a two-tailed, two sample assuming
equal variance t-test.
Here's your data:
Weight of Apples in Grams
Apple ID
Farm A
Farm B
1
131
151
2
147
159
3
134
162
4
134
158
5
136
159
6
137
160
7
140
150
8
134
160
9
136
160
10
133
160
11
134
160
12
132
158
13
139
162
14
136...

Many standard statistical methods that you will study in Part II
of this book are intended for use with distributions that are
symmetric and have no outliers. These methods start with the mean
and standard deviation, x and s. For example,
standard methods would typically be used for the IQ and GPA data
here data215.dat.
(a) Find x and s for the IQ data. (Round your
answers to two decimal places.)
s=
Here are the numbers
obs gpa iq gender...

Your IT department provided you data on patients that received
ER services, their GHHS, and their recovery time. Prepare a report
to share with the owners of the facility that will help you make
informed decisions about how long you can expect a patients’
recovery time would be based on their GHHS. Based on your findings
provide recommendations on your plan moving forward to improve the
functioning of your facilities in generating revenue. Prepare a
report that addresses each of...

Part 2: The Cohort Study
Data for the cohort study were obtained from the population of
all physicians listed in the British Medical Register who resided
in England and Wales as of October 1951. Questionnaires were mailed
in October 1951 to 59,600 physicians. The questionnaire asked the
physicians to classify themselves into one of three categories: 1)
current smoker, 2) ex-smoker, or 3) nonsmoker. Smokers and
ex-smokers were asked the amount they smoked, their method of
smoking, the age they...

Data was collected for 364 randomly selected 10 minute
intervals. For each ten-minute interval, the number of people
entering the atrium of a large mall were recorded. The data is
summarized in the table below.
Number
of Guests
Frequency
220 – 239
83
240 – 259
95
260 – 279
47
280 – 299
43
300 – 319
96
What is the class width for this GFDT?
Class width =
The number of students in the tutoring center was recorded...

A physiological experiment was concluded to study the effect of
various factors on a pulse rate. The participants took their own
pulse. They then were asked to flip a coin. If their coin came up
head, they were to run in place for 1 minute. Then everyone took
their own pulse again. The dataset pulse.txt, available from
Moodle, contains the following variables: ROW- id numbers, from 1
to 92; PULSE1- first pulse rate; PULSE2- second pulse rate;
RAN-1=ran in place,...

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