Question
In: Statistics and Probability
Choose any two easily recordable explanatory and response variables that you wish to analyse regarding biostatistics....
Choose any two easily recordable explanatory and response variables that you wish to analyse regarding biostatistics.
Briefly explain the relationship you believe would exist between your chosen variables of interest.
Solutions
Expert Solution
Let us consider the data
The correlation matrix is given by:
The value of correlation coefficient is lies between -1 and 1. if the correlation coefficient is positive then there exist a positive relationship between the variable. i.e., one increases the other also increase. if the value is negative then there exist a negative correlation. i.e.,one increases the other is decreases. the relationship between the variable is clear from the above table. if the value is higher than 0.5 or less than -0.5 then the correlation is severe.
orchestra answered 2 years agoRelated Solutions
Choose any 2 EASILY recordable explanatory and response variables regarding biostatistics that you wish to analyse....
Choose any 2 EASILY recordable explanatory and response
variables regarding biostatistics that you wish to analyse. Briefly
explain the relationship you believe would exist between your
chosen variables of interest.
Consider a binary response variable y and two explanatory variables x1 and x2. The following table...
Consider a binary response variable y and two
explanatory variables x1 and
x2. The following table contains the parameter
estimates of the linear probability model (LPM) and the logit
model, with the associated p-values shown in
parentheses.
Variable
LPM
Logit
Constant
−0.40
−2.20
(0.03
)
(0.01
)
x1
0.32
0.98
(0.04
)
(0.06
)
x2
−0.04
−0.20
(0.01
)
(0.01
)
a. At the 5% significance level, comment on the
significance of the variables for both models.
Variable
LPM
Logit...
b) In the following examples, identify the response variable and the explanatory variables illustrating their levels...
b) In the following examples, identify the response variable and
the explanatory variables illustrating their levels of
measuremsnt
i) Marital status (married, single, divorced,
widowed), Quality of life (excellent, good, fair, poor).
ii) presence of a disease( Presnet, Absent) , gender ( male,
Female),
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In order to do a SWOT analysis you will first have to do
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Then, you are to write a SWOT analysis (strengths, weaknesses,
opportunities and threats). Thoroughly discuss each...
1. Identify the explanatory and response variables in your study. 2. Explain why the study is...
1. Identify the explanatory and response variables in your
study.
2. Explain why the study is an observational study or an
experiment.
3. Can we conclude that there is a causal relationship between
the explanatory and response variables?
This is the Study:
https://www.sciencedaily.com/releases/2018/10/181009210738.htm
Planned intermittent fasting may help to reverse type 2
diabetes, suggest doctors writing in the journal BMJ Case
Reports after three patients in their care, who did this, were
able to cut out the need for insulin...
Choose any behavior in any animal you wish and explain that behavior from each of Tinbergen’s...
Choose any behavior in any animal you wish and explain that
behavior from each of Tinbergen’s four levels of causation
(proximate, ontogenetic, adaptive value, evolution).
Choose any behavior in any animal you wish (one that we have not discussed at length...
Choose any behavior in any animal you wish (one that we have not
discussed at length in class) and explain that behavior from each
of Tinbergen’s four levels of causation (proximate, ontogenetic,
adaptive value, evolution).
You wish to determine if there is a linear correlation between the two variables at a...
You wish to determine if there is a linear correlation between
the two variables at a significance level of α=0.10α=0.10. You have
the following bivariate data set.
x
y
85.9
65.4
73.2
49.4
62.2
36.9
86.4
52.3
76
52.8
70.8
34
77.6
59.4
70.1
47.2
80.2
65.8
83.9
46.2
80.1
47
68.8
50.8
85.5
82.9
74.3
69.9
72.7
42.8
87.1
65.6
70.4
59.3
85.2
64.5
63.3
31.9
92.6
80.4
87
62.2
77.3
63.8
93.9
64.4
What is the correlation coefficient...
You wish to determine if there is a linear correlation between the two variables at a...
You wish to determine if there is a linear correlation between
the two variables at a significance level of α=0.005α=0.005. You
have the following bivariate data set.
x
y
39
52.7
29.7
82.5
32.1
72.4
39.4
98.3
31.1
51.4
43.1
51.8
35.5
43.8
29.5
90.8
38.4
100
36.8
7.4
34
67.5
28.3
97.2
32.2
82.2
29.9
28.9
What is the correlation coefficient for this data set?
r =
What is the p-value for this correlation coefficient?
p-value =
Your final...
You wish to determine if there is a linear correlation between the two variables at a...
You wish to determine if there is a linear correlation between
the two variables at a significance level of α=0.01. You have the
following bivariate data set.
x
y
30.1
49.7
47.3
53.8
55.7
49.6
35.7
58.9
42.7
53.7
36.4
56.8
42.6
62.9
34
61.1
47.5
65
57.3
47
34.5
63.3
62.6
55.2
What is the correlation coefficient for this data set?
r =
To find the p-value for a correlation coefficient, you need to
convert to a t-score:
t=√r2(n−2)1−r2...
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