The table shows data from a stadium concession stand, representing average temperature (x) in degrees Fahrenheit and the number of popsicles sold (y). A 4-column graph with 6 rows. Column 1 is labeled x with entries 65, 72, 85, 88, 92, sigma-summation x = 402. Column 2 is labeled y with entries 22, 25, 52, 65, 78, sigma-summation y = 242. Column 3 is labeled x squared with entries 4,225, 5,184, 7,225, 7,744, 8,464, sigma-summation x squared = 32,842. Column 4 is labeled x y with entries 1,430, 1,800, 4,420, 5,720, 7,176, sigma-summation x y = 20,546. Which regression equation correctly models the data? y = 0.60x – 17 y = 0.60x – 0.16 y = 2.09x – 114 y = 2.09x – 120
The table shows data from a stadium concession stand, representing average temperature (x) in degrees Fahrenheit and the number of popsicles sold (y). A 4-column graph with 6 rows. Column 1 is labeled x with entries 65, 72, 85, 88, 92, sigma-summation x = 402. Column 2 is labeled y with entries 22, 25, 52, 65, 78, sigma-summation y = 242. Column 3 is labeled x squared with entries 4,225, 5,184, 7,225, 7,744, 8,464, sigma-summation x squared = 32,842. Column 4 is labeled x y with entries 1,430, 1,800, 4,420, 5,720, 7,176, sigma-summation x y = 20,546. Which regression equation correctly models the data? y = 0.60x – 17 y = 0.60x – 0.16 y = 2.09x – 114 y = 2.09x – 120
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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The table shows data from a stadium concession stand, representing average temperature (x) in degrees Fahrenheit and the number of popsicles sold (y).
A 4-column graph with 6 rows. Column 1 is labeled x with entries 65, 72, 85, 88, 92, sigma-summation x = 402. Column 2 is labeled y with entries 22, 25, 52, 65, 78, sigma-summation y = 242. Column 3 is labeled x squared with entries 4,225, 5,184, 7,225, 7,744, 8,464, sigma-summation x squared = 32,842. Column 4 is labeled x y with entries 1,430, 1,800, 4,420, 5,720, 7,176, sigma-summation x y = 20,546.
Which regression equation correctly models the data?
y = 0.60x – 17
y = 0.60x – 0.16
y = 2.09x – 114
y = 2.09x – 120
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