Question

Application of correlation. Write a mathematical scenario to describe each of the scatter plots.

Answer #1

Correlation is used to find the linear relationship between two numerically expressed variables.

Eg----------------

,No of policyholders and the event of happening of a claim.,As the number of policyholders increase,the chances of concerned event occurring also increases. This is used by insurance companies.....

Description--

Whenwe look at scatterplot, we should be able to describe the association we see between the variables.

A quick description of the association in a scatterplot should always include a description of the form direction ,strength of the association, along with the presence of any outliers.......

Note-if there is any understanding problem regarding this please feel free to ask via comment box..thank you

Describe what a scatter diagram would look like for each of the
following situations:
a perfect correlation,
a weak positive linear correlation, and
no correlation.

Write the The Ampere—Maxwell Law. mathematical expressions
(integral form only). Explain each symbol, each detail in each of
these equations – by words. Draw sketches when they are necessary
for your explanation.

When should you not use a correlation? Describe two situations
where a correlation would not give a good numerical summary of the
relationship between two quantitive variables. Illustrate each
situation with a scatterplot and write a short paragraph explaining
why the correlation would not be appropriate in each of these
situations.

You see scatter plots of three pairs: Y versus X1, Y versus X2,
and Y versus X3. If each of the first two scatters is fairly close
to a straight line, but the third is more a shapeless swarm of
points, which of the following can you conclude?
a. It is possible that a regression with all three X's could
have an appreciably higher R-square value than a regression with
only X1 and X2, due to the correlation structure among...

write an application report in chapter three. Describe a few
examples of your learning from the ratios relating to your personal
life, work or school and the future implications of what you have
learned.
the textbook
M: Finance - 3 Year Option, 3rd Edition
Marcia Cornett; Troy Adair; John Nofsinger

Create and describe 3 scenarios in which you then identify (for
each scenario), (a) the population and (b) the sample.

Write a one page report on Shockley Queisser Efficiency
Limit.
Please include the mathematical treatment that was followed in this
theoretical study to estimate the optimum band gap for the solar
cell and the maximum efficiency for single junction. Please include
the assumptions for used in this analysis and the main findings.
Also briefly describe different approach to increase the efficiency
of the solar cell beyond this limit

14. To investigate the relationship between yield of potatoes,
y, and the level of fertilizer application, x, an experimenter
divides a field into eight plots of equal size and applies
differing amounts of fertilizer to each. The yield of potatoes (in
pounds) and the fertilizer application (in pounds) are recorded for
each plot. The data are as follows: x 1 1.5 2 2.5, 3 3.5 4 4.5 y 25
31 27 28 36 35 32 34 a) Test at the...

1. Correlations and Scatter Plots
The following data set represents avg time per week spent on social
media by age for 12 randomly chosen individuals.
Age 14 18 27 21 55 46 18 26 15 17 62 41 Time (s) 240 150 135 110 45
72 150 41 200 125 31 52
a. The correlation coefficient between the two variables is found
to be r = -0.84, and the standard deviation for each variable are
Sage = 16.71 and Stime...

Suppose a null model is applied to describe the relation of two
random variables, you may add one more variable into the model as a
predictor, and that would be the second model.
a. Draw two scatter plots to illustrate the fitting of the two
models, which can show simple regression has a better fitting.
b. Tell how the R^2 changes and how adjusted R^2 change.
c. Write an estimator of the coefficient of the null model.

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