Scores Patient Pain (X) Fatigue (Y) A 1.75 B 6.75 D 3 5.25 10 eate a scatterplot of these scores on the grid. For each of the five (X, Y) pairs, drag the orange points (square mbol) in the upper-right corner of the diagram to the appropriate location on the grid. FATIGUE 10 Scores 10 PAIN Clear All ш 4, 2. Co 6. 4. Before calculating the regression line, you expect the slope to be based on the points you plotted, suggesting that there may be linear relationship between pain and fatigue. For the data above, the value of X = 5, Y = 6.35, covxY = -7.500, s = 10.000, and s = 9.643. Find the regression line for predicting Y given X. The slope of the regression line is and the Y intercept is The Pearson correlation is r = The variation amount in the fatigue scores (explained by their pain scores) is The standard error of the estimate is Suppose you want to predict the fatigue score for a new patient. The only information given is that this new patient is similar to patients A through E; therefore, your best guess for the new patient's level of fatigue is The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is Suppose that now you are told the pain score for this new patient is 5.5. Now, your best guess for the new patient's level of fatigue is . The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is
Scores Patient Pain (X) Fatigue (Y) A 1.75 B 6.75 D 3 5.25 10 eate a scatterplot of these scores on the grid. For each of the five (X, Y) pairs, drag the orange points (square mbol) in the upper-right corner of the diagram to the appropriate location on the grid. FATIGUE 10 Scores 10 PAIN Clear All ш 4, 2. Co 6. 4. Before calculating the regression line, you expect the slope to be based on the points you plotted, suggesting that there may be linear relationship between pain and fatigue. For the data above, the value of X = 5, Y = 6.35, covxY = -7.500, s = 10.000, and s = 9.643. Find the regression line for predicting Y given X. The slope of the regression line is and the Y intercept is The Pearson correlation is r = The variation amount in the fatigue scores (explained by their pain scores) is The standard error of the estimate is Suppose you want to predict the fatigue score for a new patient. The only information given is that this new patient is similar to patients A through E; therefore, your best guess for the new patient's level of fatigue is The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is Suppose that now you are told the pain score for this new patient is 5.5. Now, your best guess for the new patient's level of fatigue is . The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Scores
Patient Pain (X) Fatigue (Y)
A
1.75
B
6.75
D
3
5.25
10
eate a scatterplot of these scores on the grid. For each of the five (X, Y) pairs, drag the orange points (square
mbol) in the upper-right corner of the diagram to the appropriate location on the grid.
FATIGUE
10
Scores
10
PAIN
Clear All
ш
4,
2.
Co
6.
4.
Transcribed Image Text:Before calculating the regression line, you expect the slope to be
based on the points you plotted,
suggesting that there may be
linear relationship between pain and fatigue.
For the data above, the value of X = 5, Y = 6.35, covxY = -7.500, s = 10.000, and s = 9.643.
Find the regression line for predicting Y given X. The slope of the regression line is
and the Y intercept is
The Pearson correlation is r =
The variation amount in the fatigue scores (explained by their pain
scores) is
The standard error of the estimate is
Suppose you want to predict the fatigue score for a new patient. The only information given is that this new patient
is similar to patients A through E; therefore, your best guess for the new patient's level of fatigue is
The error associated with this guess (that is, the "standard" amount your guess will be away from the true value) is
Suppose that now you are told the pain score for this new patient is 5.5. Now, your best guess for the new patient's
level of fatigue is
. The error associated with this guess (that is, the "standard" amount your guess will be
away from the true value) is
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