A 4-column table with 6 rows. Column 1 is labeled x with entries 1.5, 3, 5.5, 6.25, 7, Sigma-summation x almost-equals 23.25. Column 2 is labeled y with entries 9.5, 17, 34.5, 31, 35, sigma-summation y almost-equals 127.

Column 3 is labeled x squared with entries 2.25, 9, 30.25, 39.06, 49, sigma-summation x squared almost-equals 129.56.

Column 4 is labeled x y with entries 14.25, 51, 189.75, 193.75, 245, sigma-summation x y almost-equals 693.75.

The table shows the relationship between the number of trucks filled with mulch (x) and the number of tons of mulch (y) delivered by a landscaping company. Which regression equation models the data?

y = 4.8x + 3
y = 3x + 4.8
y = x + 20.8
y = 20.8x + 1

a

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step-by-step explanation:

step-by-step explanation:

12: 00 p.m. to 7: 00 p.m. is a total of 7 hours.

4: 00 p.m. to 7: 00 p.m. is a total of 3 hours.

this means that from 4: 00 p.m to 7: 00 p.m. this represents 3/7 of what was lost from 12: 00 p.m. to 7: 00 p.m.

after knowing this, after doing 11,600 - 6,800 = 4,800

4,800 represents 3/7 of what was lost for 7 hours.

we then divide 4,800 by 3 which gets 1,600.

because we know that 1,600 represents 1/7 of how much water was lost, we just have to multiply by 7, which gets 11,200.   after adding 11,200 to how much water was left at 7: 00 p.m. which was 6,800. 11,200 + 6,800 = 18,000

this means that the pool originally had 18,000 gallons in the pool.

you can also check your work by doing 18,000 - 4(1600), which becomes           1800 - 6400 which gets you 11,600.