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STatiana [176]
3 years ago
5

Victor sells bouquets of flowers at a farmers market. He earns a flat rate for each bouquet sold, shown on the graph below. The

table below shows the number of bouquets Victor sold last week. Fill in the table to show how much money Victor earned.
Mathematics
1 answer:
stellarik [79]3 years ago
8 0

Answer:

Attach the graph so we can help lol

Step-by-step explanation:

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I dont understand please help Which expression is equivalent to 8-(6r+2) A -6r+6 B 2r+2 C 6r+10 D -6r+10
Goryan [66]

Answer:

-6r+6

Step-by-step explanation:

Given data

We are given the expression

8-(6r+2)

let us expand it by opening the bracket

=8-6r-2

collect like terms

=8-2-6r

=6-6r

rearrange

=-6r+6

Hence option A is correct

8 0
3 years ago
Can people please help me on this
Bad White [126]

the last one D)4.5298 l check in calculator it did not come correct but I say the last one

7 0
3 years ago
There is an outbuilding that has an area of 80 square feet. The rectangle on the blueprint that represents the outbuilding has a
Tanya [424]

Answer:

B) 4

Step-by-step explanation:

There is an outbuilding that has an area of 80 square feet. The rectangle on the blueprint that represents the outbuilding has an area of 20 square inches. If the actual outbuilding has a wall length of 10 feet, what is the length of that wall on the blueprint . A) 3 B) 4 C) 5 D) 6

The length of the wall on the blue print can be calculated as:

20 square feet ÷ 5

= 4 feet

8 0
3 years ago
A bag contains only red and blue marbles. Yasmine takes one marble at random from the bag. The probability that she takes a red
Daniel [21]
The answer is gonna be 40
8 0
3 years ago
A college job placement office collected data about students’ GPAs and the salaries they earned in their first jobs after gradua
frez [133]

Answer:

X is the GPA

Y is the Salary

Standard deviation of X is 0.4

Standard deviation of Y is 8500

E(X)=2.9

E(Y)=47200

We are given that The correlation between the two variables was r = 0.72

a)y = a+bx

b = \frac{\sum(x_i-\bar{x})(y_i-\bar{y})}{\sum(x_i-\bar{x})^2} = \frac{r \times \sqrt{var(X) \times Var(Y)}}{Var(X)} =  \frac{0.72 \times \sqrt{0.4^2 \times 8500^2}}{0.4^2} = 15300

a=y-bx = 47200-(15300 \times 29) = 2830

So, slope =  15300

Intercept =  2830

So, equation : y = 2830+15300x

b) Your brother just graduated from that college with a GPA of 3.30. He tells you that based on this model the residual for his pay is -$1880. What salary is he earning?

y = 2830+15300 \times 3.3 = 53320

Observed salary = Residual + predicted = -1860+53320 = 51440

c)) What proportion of the variation in salaries is explained by variation in GPA?

The proportion of the variation in salaries is explained by variation in GPA = r^2 = (0.72)^2 =0.5184

8 0
3 years ago
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