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?

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 = = 25.01617562 ≈ 25 flavored bagels.

x = -4

step-by-step explanation:

- 20 - 4(x + 3) = 4x

=> -20 - 4x - 12 = 4x

=> - 32 -4x = 4x

=> -32 = 4x + 4x

=> - 32 = 8x

=> -32/8 = x

=> -4 = x

3

step-by-step explanation: