c) Create a scenario for two variables that may be
related. Identify a sample dataset (sample...
c) Create a scenario for two variables that may be
related. Identify a sample dataset (sample size n=10) and using it
calculate covariance and correlation values. Interpret the
relationship.
Solutions
Expert Solution
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Create a scenario for two variables that may be related.
Identify a sample dataset (sample size n=10) and using it calculate
covariance and correlation values. Interpret the relationship.
The following dataset contains a random sample of countries. Two
variables are included: GDP per capita and infant mortality rate
per 1,000 live births. Determine the equation of
the best fit line and calculate the r-squared. Interpret all
findings.
If you do not show your work for obtaining each portion
of the regression equation and r-squared, you will lose extensive
points on this exercise.
Country
GDP per Capita (USD)
Infant Mortality Rate
Malaysia
9766.166
6
Slovak Republic
15962.57
5.8
Central...
The dataset Bravman.xlsx reports some variables of a sample of
transactions for a company.
Is there evidence at the 1% significance level, that the
percentage of those with bad credit (below a score 650) is more
than 20% of the population? Use the 5-step: State the
null and alternative hypothesis, state the level
of significance. identify a test
statistics, determine the rejection region
and state your conclusion . . Interpret the results in context.
Data:
Customer Number
Wait Time (min)
Purchase Amount ($)
Customer...
Identify the possible values of each of the 3 variables in this
dataset and describe what information each of the 3 variables tells
us about the data
Heart rate before and after exercise
M=0 F=1
Resting
After Exercise
0
85.9
87.5
0
67.7
79.4
0
80.3
93.4
0
85.2
97.7
0
86.3
99.7
0
76.6
83.7
Identify two types of variables and four scales of measurement.
How they are related with each other? What is the difference
between variables and constants? Why do we need to study variables
instead of constants in statistics? (Business Statistics &
Application Course)
Think of a problem dealing with two possibly related variables
(Y and X) that you may be interested in. Share your problem and
discuss why a regression analysis could be appropriate for this
problem.
Specifically, what statistical questions are you asking? Why
would you want to predict the value of Y? What if you wanted to
predict a value of Y that’s beyond the highest value of X (for
example if X is time and you want to forecast Y...
Think of a problem dealing with two possibly related variables
(Y and X) that you may be interested in. Share your problem and
discuss why a regression analysis could be appropriate for this
problem.
Specifically, what statistical questions are you asking? Why
would you want to predict the value of Y? What if you wanted to
predict a value of Y that’s beyond the highest value of X (for
example if X is time and you want to forecast Y...
Pick any two variables that you feel may be related and estimate
what you think the strength of the correlation coefficient would be
for those two variables. In your response, estimate the value of r.
For example, specify a strong (.7 to .9), medium (.4 to .6), or low
(0 to .3) value for r. The value of the coefficient can be positive
or negative. For example, consider an increase in police patrols in
a neighborhood and the number of...
What are the key constructs required to create a loop? Identify
two scenarios that may require two different types of loops. Be
sure to provide specific details for each scenario that illustrate
why the different types of loops are required.
Create a list of six variables related to this decision – three
must be categorical in nature, and three must be numeric. Indicate
how these variables are measured. For example, are they yes/no
questions, Likert-scale questions, numeric values (what units?),
etc.
The decision is: making the ordering process quicker for
customers at a fast food establishment.