The regression equation to predict the number of cans sold on a day that is 90°F will be 871.
<h3>What is the linear system?</h3>
A linear system is one in which the parameter in the equation has a degree of one. It might have one, two, or even more variables.
A convenience store manager notices that sales of soft drinks are higher on hotter days, so he assembles the data in the table, shown above. Use technology to find the equation of the least-squares regression line.
Then the regression line will be passing through (55, 340) and (84, 780). Then we have
y - 340 = 15.17(x - 55)
Then the regression equation to predict the number of cans sold on a day that is 90°F will be
y - 340 = 15.17 (90 - 55)
y = 871
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-9 is x
mark me brainliest if the answer is correct, thank you in advance :)
To solve this, set up a proportion, crossmultiply, and solve for x.
Let x = the unknown amount of cases in 60 minutes.

44x = 50(60)
44x = 3000
Divide both sides by 44 to isolate variable x
x = 3000 / 44
x ≈ 68.1818 (the 18s repeat forever)
Rounding to the closest case and assuming the rate stays constant, you would get
approximately 68 cases in 60 minutes. If you need not round to the nearest case, you would get approximately 68.18 cases in 60 minutes.