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The owner of a deli gathered data about the number of flavored bagels and plain bagels sold during the first hour of business for several days. He organized the data in a scatter plot, with x representing the number of flavored bagels and y representing the number of plain bagels sold. Then he used a graphing tool to find the equation of the line of best fit: y = 1.731x + 6.697. Based on the line of best fit, approximately how many flavored bagels can the deli expect to sell during an hour when 50 plain bagels are sold? A. 25 B. 33 C. 87 D. 93

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ls3192099

The answer is A.) 25

The previous answer of 87 is wrong, and there is me to prove it below.

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The deli can expect to approximately sell 25 flavored bagels during an hour when 50 plain bagels are sold.

What is a scatter plot?

A scatter plot is a plot containing points that are made using different cartesian coordinates. The line that passes approximately through these points is called the regression line.

The number of flavored bagels can be found as shown below:

To find the number of flavored bagels which is x, we have to substitute the value of y which is the number of plain bagels sold.

The equation is given as:

y = 1.731x + 6.697

Now substitute the value of y = 50:

50 = 1.731x + 6.697

43.303 = 1.731x

x = 43.303/1.731

= 25.016 ≈ 25 falvored bagels

Therefore, the deli can expect to approximately sell 25 flavored bagels during an hour when 50 plain bagels are sold. The correct answer is option A.

Learn more about scatter plots here: https://brainly.com/question/6592115

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