Question

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?

Answer 1

Answer:

Approximately 25 flavored bagels.

Step-by-step explanation:

The scatter plot is a graph on cartesian plane where;

y-axis represents the number of plain bagels sold.

x-axis representing the number of flavored bagels sold.

The equation of the straight line on the graph is;

y = 1.731x + 6.697

The graph formed is as attached below.

The slope of the graph means that for every 1 flavored bagel sold, 1.731 plain bagels are sold within one hour.

When y = 50 ;

50 = 1.731x + 6.697

x = $\frac{50 - 6.697}{1.731}$ = 25.01617562 ≈ 25 flavored bagels.