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3 years ago

9

Can someone please tell me the answer?

2 answers:

iris [78.8K]3 years ago

6 0

D, it has a right angle which is a 45 degree angle and that is not listed on the options. hope this belay

polet [3.4K]3 years ago

5 0

Answer: none of the above

Explanation: it’s d.

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a supplier sells 2 1/4 pounds of mulch for every 1 1/3 pounds of gravel. The supplier sells 172 pounds of mulch and gravel combi

laila [671]

We first write the fractions in their decimal forms and find out the ratio.

2 1/4 is equivalent to 2.25, and 1 1/3 is equivalent to 1.33

Ratio will be 2.25 / 1.33 = 1.69 or 1.7 rounded off. Since it cannot be simplified further, then the ratio of mulch to gravel will be 1.7: 1

Quantity of mulch sold → 1.7/2.7 of 172 →0.629 ×172 = 108.2 pounds

Quantity of gravel sold will be 172 -108. 2 = 63 .8 pounds

6 0

3 years ago

40% of 400- how to solve please (thanks

Alexxandr [17]

Step-by-step explanation:

What is 40% of 400?

Convert the problem to an equation using the percentage formula: P% * X = Y
P is 40%, X is 400, so the equation is 40% * 400 = Y
Convert 40% to a decimal by removing the percent sign and dividing by 100:40/100 = 0.4
Substitute 0.10 for 10% in the equation: 40% * 400 = Y becomes 0.4 * 400 = Y
Do the math: 0.4 * 400 = 160
Y = 160
So 10% of 150 is 160
Double check your answer with the original question: What is 40% of 400? Multiply 0.4 * 400 = 160

6 0

2 years ago

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A taxi cab charges $3.00 per person

kkurt [141]

Use a calculator that’s the 100% way to go

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3 years ago

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(+1) + (-5) - (+5) + (+9)

olchik [2.2K]

Answer:

The answer is 0

Hope that helps!

5 0

2 years ago

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Given the following data: X 1 4 6 7 Y 9 7 8 1 a) Find the coefficient of correlation. b) Find the equation of the regression lin

Viktor [21]

Answer:

a) r=-0.719

b) y=10.642-0.976x

c)Predicted y=7.714

Step-by-step explanation:

a)

sumx=1+4+6+7=18

sumy=9+7+8+1=25

sumxy=1*9+4*7+6*8+7*1=92

sumx²=1²+4²+6²+7²=102

sumy²=9²+7²+8²+1²=195

n=number of observation=4

The correlation coefficient is computed by following formula

$r=\frac{nsumxy-(sumx)(sumy)}{\sqrt{[nsumx^{2} -(sumx)^2][nsumy^2-(sumy)^2]}}$

$r=\frac{4(92)-(18)(25)}{\sqrt{[4(102) -(18)^2][4(195)-(25)^2]}}$

$r=\frac{368-450}{\sqrt{[408 -324][780-625]}}$

$r=\frac{-82}{\sqrt{[84][155]}}$

$r=\frac{-82}{\sqrt{13020}}\\r=\frac{-82}{114.1052}\\r=-0.7186$

By rounding r to 3 decimal places we get r=-0.719.

b)

The regression equation can be written as y=a+bx

We have to find "a" and "b" for regression equation

$b=\frac{nsumxy-(sumx)(sumy)}{{nsumx^{2} -(sumx)^2}}$

$a=ybar-b(xbar)$

$b=\frac{4(92)-(18)(25)}{{4(102) -(18)^2}}$

$b=\frac{-82}{{84}}$

b=-0.976

xbar=sumx/n

xbar=18/4=4.5

ybar=sumy/n

ybar=25/4=6.25

a=ybar-b(xbar)

a=6.25-(-0.976)4.5

a=6.25+4.392

a=10.642

Thus, the regression equation is

y=a+bx

y=10.642-0.976x

c)

The predicted value of y for x=3 can be computed by putting the value of x in regression equation

y=10.642-0.976(3)

y=10.642-2.928

y=7.714

Hence, the predicted y-value for x=3 is 7.714.

4 0

4 years ago