All categories

3 years ago

I need a fraction that is between zero and one???

2 answers:

5 0

A fraction is defined as as part of one,

think of it like this
you have 1 pie
your brother cuts it into 4 pieces
you take 1
you took 1 out of 4 or 1/4 pie

so fractions
you have a numberator (top) and denomenator (bottom)
the numberator tells how many pieces you have
the denomenator tells how many pieces are needed to make 1 whole pie

so a fraction is normally where the deomenator is bigger than the numerator

so some fractions
1/2
1/3
1/4
1/5
1/6
2/5
3/7
2/2333
4/9

Nadya [2.5K]3 years ago

4 0

1/3

Every fraction that it's numerator is not over it's denominator is between zero and one and the fraction needs to be positive

You might be interested in

What is the slope? (1, 7), (10, 1)

nexus9112 [7]

Change in y = 6
change in x = -9

so slope is 6/-9 = 2/-3 = $- \frac{2}{3}$

7 0

3 years ago

Find the value of the variable in each expression

bogdanovich [222]

Answer:

they're all 0

Step-by-step explanation:

N/A

6 0

2 years ago

I’m slow and lazy and yeah sorry just at least help

Anna007 [38]

Answer:

2) x = 6 y = 7 3) x = -5 y= 2

Step-by-step explanation:

2) 10x - 8y = 4

2(-5x + 3y = -9)

-10x + 6y = -18

10x - 8y = 4 Add both equations together

-2y = -14

y = 7 Divide both sides by -2

10(x) - 8(7) = 4 Plug in 7 for the y to solve for x

10x - 56 = 4

+ 56 + 56 Add 56 to both sides

10x = 60

x = 6 Divide both sides by 10

3) Where the two lines intersect, that is the solution to x and y.

The lines intersect at (-5,2). x = -5 y = 2

3 0

3 years 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:

$b_1 = 0.5906\\b_2 = 0.4980$