ticket selling company is keeping track of how many tickets they have remaining for a concert as a function of the number of minutes since they began selling them. The data is shown in the table below. Number of minutes, x - 5 10 15 20 25 30 Tickets remaining, y - 6822 6180 5722 5008 4195 3890 (a) Find a linear regression equation, in the form y = ax + b, that best fits this data set. Round each parameter to the nearest whole number. (b) According to this model, would tickets still be on sale after an hour and a half? Justify your answer.
ticket selling company is keeping track of how many tickets they have remaining for a concert as a function of the number of minutes since they began selling them. The data is shown in the table below. Number of minutes, x - 5 10 15 20 25 30 Tickets remaining, y - 6822 6180 5722 5008 4195 3890 (a) Find a linear regression equation, in the form y = ax + b, that best fits this data set. Round each parameter to the nearest whole number. (b) According to this model, would tickets still be on sale after an hour and a half? Justify your answer.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 17HP
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A ticket selling company is keeping track of how many tickets they have remaining for a concert as a function of the number of minutes since they began selling them. The data is shown in the table below.
Number of minutes, x - 5 10 15 20 25 30
Tickets remaining, y - 6822 6180 5722 5008 4195 3890
(a) Find a linear regression equation, in the form y = ax + b, that best fits this data set. Round each parameter to the nearest whole number.
(b) According to this model, would tickets still be on sale after an hour and a half? Justify your answer.
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