Compute the least-squares regression line for predicting the diastolic pressure from the systalic pressure. Round the wope and y-intercept to at least four decimal places. Regression line equation: y =

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Compute the least-squares regression line for predicting the diastolic pressure from the systolic pressure. Round the sope
and y-intercept to at least four decimal places.
Regression line equation: y =
Transcribed Image Text:Part 1 of 4 Compute the least-squares regression line for predicting the diastolic pressure from the systolic pressure. Round the sope and y-intercept to at least four decimal places. Regression line equation: y =
112Section Eecion
Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the mamum pressure
taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the
heartbeat. Blood pressures were measured, in millimeters of mercury (mmHg), for a sample of 10 adults. The following table
presents the results. Use a TI-84 calculator to answer the following.
Systolic
Systolic
Diastolic
Diastolic
133
91
105
66
112
75
157
103
107
71
154
94
74
134
87
110
115
83
108
69
Transcribed Image Text:112Section Eecion Blood pressure: A blood pressure measurement consists of two numbers: the systolic pressure, which is the mamum pressure taken when the heart is contracting, and the diastolic pressure, which is the minimum pressure taken at the beginning of the heartbeat. Blood pressures were measured, in millimeters of mercury (mmHg), for a sample of 10 adults. The following table presents the results. Use a TI-84 calculator to answer the following. Systolic Systolic Diastolic Diastolic 133 91 105 66 112 75 157 103 107 71 154 94 74 134 87 110 115 83 108 69
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