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tamaranim1 [39]
3 years ago
6

Write the ratio 5/36 as a fraction in simplest form.

Mathematics
2 answers:
Anna35 [415]3 years ago
8 0

Answer:

<h2>\frac{5}{36}</h2>

Step-by-step explanation:

<h3>#CARRYONLEARNING</h3>
marissa [1.9K]3 years ago
4 0

9514 1404 393

Answer:

 5/36

Step-by-step explanation:

5 and 36 have no common factors, so the fraction 5/36 is already in simplest form.

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1 2/5 x 1 1/4 simplify as much as possible right answer as a mixed number pls
Olenka [21]

7/5 x 5/4
= 1 3/4
One and three fourths
5 0
4 years ago
A steel reinforcing rod is 12 ft. long and 1" thick in diameter. If a cubic foot of steel weighs 490 lb., how much does the rod
vladimir1956 [14]
In cubic feet, the volume of the rod is given by the formula for the volume of a cylinder.
.. V = (π/4)*d^2*h
.. = (π/4)*(1/12 ft)^2*(12 ft)
.. = π/48 ft^3

Then the weight is
.. (490 lb/ft^3)*(π/48 ft^3) ≈ 32 lb
5 0
3 years ago
Read 2 more answers
I know this isnt school related, but is there a bio you can put on your profile?
Setler79 [48]

no, there is not a bio you can put information about yourself I do not believe. considereing this technically is not a social media cite. however you can post comments on your page and others pages and send and receive friend requests, messages, ect.

Hope this helped :)

7 0
3 years ago
D. Based on the residuals, is your regression line a reasonable model for the data? Why or why
Crazy boy [7]

Answer:

The regression line having minimum residuals, actual values closest to estimated regression line values : depicts the most reasonable data model.

Step-by-step explanation:

Regression is a statistical tool depicting cause effect relationship between independent variable(s) (X) , dependent variable. (Y)

Population Regression Function is the conditional expectation of Yi, based on given Xi.

E (Yi / Xi ) = \beta 0 + \beta 1 Xi ; where Y's value is based on given X values

Sample Regression Function is estimated relationship between Y & X, based on sample study.

y = b0 + b1x1 ; where y is a estimate of Y, b0 & b1 estimates of \beta 0 ,  \beta 1 .

In estimating through SRF: there are residuals, i.e differences between actual & estimated values. The most reasonable regression model  (regression line) is which minimises the residual values, i.e actual values are closest possible to regression estimated values.

For this matter, classical linear regression model uses 'Ordinary Least Squares' regression, which minimises the residual's squared values.

3 0
3 years ago
I don't know how to do 6 and 7 and also I don't understand why
bezimeni [28]
I don't really understand either but here is what I think:

1=m, 2=n, ect.

So what x and y could be:

X=12
Y=13

Im not sure but those are my answers. Hope it somehow helps!!
4 0
3 years ago
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