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Nana76 [90]
2 years ago
10

Henry can write 5 55 pages of his novel in 3 33 hours.how many pages can Henry write in 8 88 hours?

Mathematics
2 answers:
lora16 [44]2 years ago
7 0
About 13 pages i believe
Sidana [21]2 years ago
4 0
Henry can write 13 pages in 8 hours. Hope this helped!
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An expression to represent ( w increased by 5 )
SashulF [63]

Answer:

W + 5

Step-by-step explanation:

Given a number, W

An increase in W by a constant 5 ; can be expressed as ;

W plus the constant value increase

Hence,

Increase in W by 5 equals ;

W + 5

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3 years ago
Find the percent B) 0.20% of 3,542
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The answer to the variable b is 708.4
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Whitch ordered pair is a solution of y>5xx-2​
jenyasd209 [6]

Answer:

y = 5x - 2 (0, 2) (1, 4) (2, 7) (3, 13)

Step-by-step explanation:

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What is the relationship between rigid motions and congruence?​
r-ruslan [8.4K]

Answer:

Rigid Motion and Congruence Two figures are congruent if and only if there exists one, or more, rigid motions which will map one figure onto the other. (thus maintaining the conditions for the figures to be congruent).

Step-by-step explanation:

7 0
3 years ago
a. obtain the equation of the estimated regression line and use it to calculate a point prediction of ammonium concentration for
Alex Ar [27]

The  equation of the regression line is  \bar{y}=9.1006+(-0.2157)x and the point prediction of ammonium concentration for 25ml/h is  \bar{y}=3.7081

<h3>What is meant by regression line?</h3>

A regression line is an approximation of the line that describes the true, but unknown, linear connection between two variables. The regression line equation is used to predict (or estimate) the value of the response variable from a given value of the explanatory variable.

In statistical modeling, regression analysis is a collection of statistical techniques for estimating the associations between a dependent variable and one or more independent variables.

a) \bar{y}=β₀+β₁x

Where,

β₁=S_{xy}/S_{xx} -------(1)

Where,

S_{xy}= -341.959231

S_{xx}1585.230769

By substituting these values in equation 1 we get,

β₁= -0.2157

β₀= \bar{y}-β₁x

Where,

\bar{y}=∑y_{i}/n

∑y_{i}=52.8

n=13

Then,

\bar{y}=4.0615

\bar{x}=∑x_{i}/n

∑x_{i}=303.7

n=13

\bar{x}=23.3615

β₀=4.0615-(-0.2157)(23.3615)

=9.1006

Therefore, β₀=9.1006

The regression equation is  \bar{y}=9.1006+(-0.2157)x

If x=25,

\bar{y}=9.1006+(-0.2157)(25)

\bar{y}=3.7081

To know more about regression line, visit:

brainly.com/question/7656407

#SPJ4

7 0
1 year ago
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