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A study was conducted to explore for any possible correlation that may exist bet

ID: 2948263 • Letter: A

Question

A study was conducted to explore for any possible correlation that may exist between age and net wealth. Data was collected from 25 subjects. Kuya wishes to anticipate his net wealth when he turns 65. What would you advise him (other than not to worry about net wealth!) of his predicted net wealth? Data can be found in the wealth tab.

The appropriate test for this problem is:

correlation

regression

multiple regression

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Question 21 pts

The obtained statistic is:

- .41

.41

- .04

.04

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Question 31 pts

The associated p value is:

.851

.158

.581

.015

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Question 41 pts

Decision is:

reject the null

retain the null

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Question 51 pts

Conclusion is (closest answer due to rounding error):

predicted net wealth is 3.0

predicted net wealth is 33.3

predicted net wealth is 6.3

no prediction can be drawn

AGE WEALTH (millions) 73 4.0 65 3.0 53 2.5 54 1.3 79 4.4 69 3.3 61 3.1 70 3.5 68 1.7 72 2.9 55 5.4 52 4.4 77 3.9 69 2.7 64 5.8 72 4.7 60 4.5 72 4.9 65 3.1 70 4.3 68 5.0 74 3.8 55 6.9 53 5.8 77 5.6

Explanation / Answer

Sol:

Insall anaysis tool pack ine xcel

Go to data>Data analysis>Correlation

We can see

r=-0.040

there exists a weak negative relatonship between age and wealth

Form linear

Strength:weak

Direction :negative

Then conduct regression inexcel

data >data analysis>regression.

select data range.

X-age

Y-Weath

click ok

You get below output:

wealth=4.445935-0.00647*age

for age=65

Wealth=4.445935-0.00647*65

wealth =4.025385

Residual =obsevedwealth-predicted wealth for x=65

=3-4.025385

=-1.025

observed is more than predicted .

There is error in prediction.
Anot accurately predicted

AGE WEALTH (millions) AGE 1 WEALTH (millions) -0.040138833 1
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