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prisoha [69]
3 years ago
14

Bernice is participating in a walk for charity. she knows she can walk 3 miles in 45 minutes. at that rate, how long will it tak

e carol to walk 24 miles
Mathematics
1 answer:
seropon [69]3 years ago
6 0
360 minutes


hope this helps :)
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Which property is demonstrated below? b.1=b A. associative property B. distributive property C. commutative property D. identity
nydimaria [60]

Answer:

i beleive thats the identity property, good luck and im sorry if its wrong!

Step-by-step explanation:

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3 years ago
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F(x) = 2x2 - X - 15 find f(-6).
xz_007 [3.2K]

Answer:

the answer is

*x+57

Step-by-step explanation:

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Is -451 in the sequence below?<br> 15,7,-1,-9,,-17..
Andrews [41]

Answer:

No, the closest to -451 in the sequence is -429

Step-by-step explanation:

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3 years ago
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Factor completely 3x ^2 -27
Tom [10]
First, factor out a 3.
3(x² - 9)

In any quadratic ax² + bx + c, we can split the bx term up into two new terms which we want to equal the product of a and c.
In this case, we have x² + 0x - 9. (the 0x is a placeholder)
We want two numbers that add to 0 and multiply to get -9.
Obviously, these numbers are 3 and -3.

Now we have 3(x² + 3x - 3x - 9).
Let's factor.
3(x(x+3)-3(x+3))
<u>3(x-3)(x+3)</u>

There are multiple shortcuts which you could make here, FYI:
Instead of splitting the middle, if your a value is 1, you can go straight to that step (x+number)(x+other number).
Whenever you have a difference of squares, like a²-b², that factors to (a+b)(a-b).
3 0
3 years ago
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Find the linear regression equation for the transformed data. x=1,2,3,4,5 y=13,19,37,91,253 log y=1.114,1.279,1.568,1.959,2,403
Talja [164]

Answer:

The answer is OPTION (D)log(y)=0.326x+0.687

<h2>Linear regression:</h2>

It is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y)

The Linear regression equation for the transformed data:

We transform the predictor (x) values only. We transform the response (y) values only. We transform both the predictor (x) values and response (y) values.

(1, 13) 1.114

(2, 19) 1.279

(3, 37) 1.568

(4, 91) 1.959

(5, 253) 2.403

X            Y           Log(y)

1              13           1.114

2             19         1.740

3             37        2.543

4             91        3.381

5            253      4.226

Sum of X = 15

Sum of Y = 8.323

Mean X = 3

Mean Y = 1.6646

Sum of squares (SSX) = 10

Sum of products (SP) = 3.258

Regression Equation = ŷ = bX + a

b = SP/SSX = 3.26/10 = 0.3258

a = MY - bMX = 1.66 - (0.33*3) = 0.6872

ŷ = 0.3258X + 0.6872

The graph is plotted below:

The linear regression equation is  log(y)=0.326x+0.687

Learn more about Linear regression equation here:

brainly.com/question/3532703

#SPJ10

6 0
2 years ago
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