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Katyanochek1 [597]
3 years ago
5

Um negociante comprou 8 barricas de vinho todas com a mesma capacidade tendo pago R$7,00 o litro é vendido a R$9,00 ele ganhou a

o todo R$1,260,00 qual era a capacidade de cada barrica ?
Mathematics
1 answer:
Law Incorporation [45]3 years ago
5 0

Answer:

each barrel has a capacity of 78,75  liters

Step-by-step explanation:

since the sold 8 barrels and assuming that each have the same capacity and are sold to the same price, the total amount he earned is

total earnings = number of barrels * number of liters/ barrel * earnings/liter

R$1,260,00 = 8 barrels * number of liters/ barrel * ( R$9,00- $7,00) /liter

number of liters/ barrel = R$1,260,00/(8 barrels*R$2,00 /liter ) = 78,75 liters/barrel

therefore each barrel has a capacity of 78,75  liters

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Josiah ran 4/5 mile. How many tenths are equal to 4/5 mile?
yan [13]
Just simply divide

4 divided by 5= .8

So 8 tenths are equal to 4/5
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3 years ago
I keep getting this wrong...
umka2103 [35]

In this question, we need to find this year's tuition.

We know that last year's tuition was 29,613 dollars.

We know that this year's tuition increased by 5.9%

In order to find your answer, we would have to multiply 29,613 by (1 + 0.059 = 1.059), since the price is increasing.

Solve:

29,613 · (1 + 0.059 = 1.059)

29,613 · 1.059 = 31,360.167

If you have to round to the nearest hundredths, it would be: 31,360.17

If you have to round to the nearest whole, it would be: 31,360

This means that this year's tuition was $31,360

Answer:

$31,360 (if you need to round to the nearest whole)

$31,360.17 (if you need to round to the nearest hundredths)

5 0
3 years ago
A professor at Givens College is interested in the relationship between hours spent studying and total points earned in a course
ra1l [238]

Answer:

1. y = 0.437798+0.829539X

2. there is a significant effect

3. 7.523

4. 41.914

5. no

6. 0.8777

Step-by-step explanation:

1.

from the regression output we have

intercept = 0.437798

slope = 0.829539

the regression line would therefore be =

y = 0.437798 + 0.829539X

2.

h0 = regression is not significant

h1: regression is significant

alpha = 0.05

p value = 0.0001

we compare p-value with alpha

0.0001<0.05

we therefore reject H0 and conclude that hours spent studying have significant effect on total points.

3.

To get standard error of estimate:

mean sum of squared error = MSE

MSE = 56.5974

= √56.5974

= 7.523

4.

points of a student who spent 50 hours studying. we calculate this from the regression line

y = 0.437798 + 0.829539X

x = 50

y = 0.437798 + 0.829539(50)

y = 41.914

5.

no I would not be comfortable using estimate regression equation to predict his point of a student spent 120 hours studying. this value is out of range of the predictor values (independent variables)

6. to get r² (r squared)

r² = SSR/SST

SSR = 3249.72

SST = 3702.5

r² = 3249.72/3702.5

= 0.8777

7.

we are supposed to solve question 7 from question 8. but no question 8 was given. hence no solution

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