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2 years ago

7.8 as a mixed number in simplest form

Mathematics

1 answer:

Goryan [66]2 years ago

8 0

7 4/5

( 7 and 4 fifths)

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To save money, you put $200 in your bank account each week. after saving for 44 weeks, you have $1,700 dollars in your account.

Evgesh-ka [11]

Y-1700 = 200(x-4) ..............

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2 years ago

rocky reifenstuhl won the 130-mile race on his bicycle. he finished in 11 hours and 45 minutes. What was his average speed in mi

Marat540 [252]

R=D/T

130 = r x 11.75

R=130/11.75=11.06

11.06 MPH

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2 years ago

Derek owns a landscape business. He charges a fixed fee of $30 plus $1 per 1,000 square feet of lawn mowed. Derek's earnings (in

kodGreya [7K]

(174,000, 134,000, 420,000, 452,000, 474,000)

I don't know if i'm right for sure but I really hope this helps you! :)

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2 years ago

Read 2 more answers

Simplify 5(1 + 3)2. 400 80 50 40

Bad White [126]

Answer:

400

Step-by-step explanation:

5(1+3)^2

(5+15)^2

20^2

400

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3 years ago

Read 2 more answers

. 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

2 years ago