3. It is hypothesized that there are fluctuations in norepinephrine (NE)levels which accompany fluctuations in affect with bipolar affectivedisorder (ranic-depressive illness). Thus, during depresive states,NE levels drop; during manic states, NE levels increase. To test thisrelationship. researchers measured the level of NE by measuring themetabolite 3-methoxy-4-hydroxyphenylglycol (MHPG in micro gram per24 hour) in the patient's urine experiencing varying levels of mania/depression. Increased levels of MHPG are correlated with increasedmetabolism (thus higher levels) of central nervous systeni NE. Levelsof mania/depression were also recorded on a scale with a low scoreindicating increased mania and a high score increased depression. Thedata is provided below. http://faculty.webster.edu/woolfln/9danswer.htmlMHPG Affect980221209261403 81950181410128010731066192612E802377628D. What would be the slope and y-intercept for a regression line based onthese data?E. What woıld be the predicted affect score if the individual had anMHPG level of 1100? of 950? of 700?

Answered: D. What would be the slope and…

D. What would be the slope and y-intercept for a regression line based on these data? E. What wouıld be the predicted affect score if the individual had an MHPG level of 1100? of 950? of 700?

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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Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

3. It is hypothesized that there are fluctuations in norepinephrine (NE)
levels which accompany fluctuations in affect with bipolar affective
disorder (ranic-depressive illness). Thus, during depresive states,
NE levels drop; during manic states, NE levels increase. To test this
relationship. researchers measured the level of NE by measuring the
metabolite 3-methoxy-4-hydroxyphenylglycol (MHPG in micro gram per
24 hour) in the patient's urine experiencing varying levels of mania/
depression. Increased levels of MHPG are correlated with increased
metabolism (thus higher levels) of central nervous systeni NE. Levels
of mania/depression were also recorded on a scale with a low score
indicating increased mania and a high score increased depression. The
data is provided below. http://faculty.webster.edu/woolfln/9danswer.
html
MHPG Affect
980
22
1209
26
1403 8
1950
1814
10
1280
1073
1066
19
26
12
E80
23
776
28
D. What would be the slope and y-intercept for a regression line based on
these data?
E. What woıld be the predicted affect score if the individual had an
MHPG level of 1100? of 950? of 700?

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