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The owner of a sporting goods store making a supply purchase for the coming month on post experience, he has constructed a model which shows that customers choose to buy soccer balls over baseball bots and tennis rackets 58% of the time. The table below shows the results of three weeks of business with breakdowns for how many customers purchased soccer balls, baseball and tennis rackets

Sagot :

Answer:

In photo below

Explanation:

I just took the test and passed.

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The answers are Week 1 Results are consistent , Week 2 results are inconsistent , Week 3 results are consistent

What is Statistical Modeling ?

Statistical modeling refers to the data science process of applying statistical analysis to datasets.

A statistical model is a mathematical relationship between one or more random variables and other non-random variables.

The owner has modeled that the customers choose to buy soccer balls over baseball bots and tennis rackets 58% of the time .

To test that this applies to the data set and the modelling is consistent or inconsistent we have to substitute the value in the equation

y = 1.58x

here y is the customers who choose to buy soccer balls

and x is  the customers who choose to buy baseball bats and tennis rackets.

So the data shows that

Week 1 Results are consistent

Week 2 results are inconsistent

Week 3 results are consistent

To know more about Statistical Modeling

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