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Read the following description of a data set.
An automobile dealership ran a radio ad campaign to help sell its least popular
model. The dealership always used the same ad but broadcast it a different
number of times each week.
The sales manager tallied the number of ads broadcast each week, , and the
weekly sales of the model, .
The least squares regression line of this data set is:

Complete the following sentence:
For each additional ad, the least squares regression line predicts
additional sales of the model.

Ask by Bryant Bond. in the United States
Jan 20,2025

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For each additional ad, the regression line predicts an increase of 1.668 sales.

Solución

For each additional ad, the least squares regression line predicts an increase of 1.668 sales of the model.

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Beyond the Answer

For each additional ad, the least squares regression line predicts an increase of approximately 1.668 units in the sales of the model. This means that for every time the ad is aired, the dealership can expect to sell about 1.668 more cars, indicating the effectiveness of the advertising campaign.
It’s fascinating to note that the relationship between advertising and sales isn’t just a modern phenomenon. Historically, businesses have relied on various forms of advertising to reach potential customers, from print ads in newspapers to television commercials. Understanding how advertising impacts sales has been a key focus for many industries, making data analysis a vital tool to ensure marketing efforts yield the best results possible!

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