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Alina [70]
2 years ago
12

100.11256 round to the nearest 10th

Mathematics
2 answers:
zloy xaker [14]2 years ago
8 0

Answer:

100.10000

Step-by-step explanation:

Because tenth is 1rst number behind decimal so 1. and 1 is asking it's neighbor hundredths/1 for helps and since 1 is 4 and below it can't go up so it stays the same at 1.

Hope it helps have a great day:)

lord [1]2 years ago
6 0

Answer:

100 or 100.1 because all of the numbers after that are below 5 making them unable to round up so they all go bye bye.

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What is 0.85 as fraction? Show your work please and thank you!
Levart [38]

Answer:

85/100

Step-by-step explanation:

There are only 2 numbers after the decimal point which means that is 0/100. You would get 85/100 and you can't simplify more than that.

Hope This Helps :)

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3 years ago
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Simplify 27^2.<br><br> please (thxx)
adoni [48]

Answer:

729

Step-by-step explanation:

Raise 27 to the power of 2.

729

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Factor 30b2 + 48b - 24
iogann1982 [59]
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Analia is a school district manager. Here are some details about two schools in her district for the last school year:
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Answer is in this link:

brainly.com/question/17270742

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1 year ago
. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5
beks73 [17]

Answer:

b) y = 289.815 when x_1 = 180 \text{ and } x_2 = 310

Step-by-step explanation:

We are given the following information in the question:

y = 29.1270 + 0.5906x_1 + 0.4980x_2

where y is the dependent variable,

x_1, x_2 are the independent variable.

The multiple regression equation is of the form:

y = b_0 + b_1x_1 + b_2x_2

where,

b_0: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

b_1: It is the slope coefficient of the independent variable x_1.

b_2: It is the slope coefficient of the independent variable x_2.

  • The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.

Comparing the equations, we get:

b_1 = 0.5906\\b_2 = 0.4980

  • This means holding x_2 constant, a change of one in x_1 is associated with a change of 0.5906 in the dependent variable.
  • This means holding x_1 constant, a change of 1 in x_2 is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815

3 0
3 years ago
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