Matt is three times as old is Jessica. The sum of their ages will total 56. How old are they now?

Write the following in point-slope form using the given information: Slope: 2 points

SCORPION-xisa [38]

Answer:

$y+5 = \frac{1}{15}(x - 3)}$

Step-by-step explanation:

Given

$m = \frac{1}{15}$ -- Slope

$(x_1,y_1) = (3,-5)$ --- Point

Required

Write an equation in point slope form

The point slope form of an equation is:

$y - y_1 = m(x - x_1)$

Substitute values for y1, x1 and m

$y-(-5) = \frac{1}{15}(x - 3)}$

$y+5 = \frac{1}{15}(x - 3)}$

Hence, the equation in point slope form is:

$y+5 = \frac{1}{15}(x - 3)}$

8 0

2 years ago

If someone knows the answer please help

pickupchik [31]

The correct answer is D. D'(1, 5), E'(-1, 3), F'(-1, -4), G'(1, -2).

It's because of this: You need to calculate the distances, and they are in this case symmetric, so you look how far is from one side, and it will be the same on the other side. When you put it on graph, the coordinates are clear and the correct answer is D.

7 0

3 years ago

william bougght canned goods at 2.40 per can.he wants to increase the price per can so that he makes a 25% profit. what will the

NemiM [27]

Answer:

The answer is 3

Step-by-step explanation:

25% of 2.40 equals 0.6

so 3 will be the total price and he will get 0.6 profit.

7 0

2 years ago

The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat

Elenna [48]

Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

$(x_1, y_1) ,....,(x_n,y_n)$

For this case we assume that we want to find a linear regression model given by:

$\hat y = \hat m x +\hat b$

Where:

$\hat m$ represent the estimated slope for the model

$\hat b$ represent the estimated intercept for the model

And for any estimation of the dependent variable $\hat y_i , i=1,...,n$ is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

$e_i = y_i -\hat y_i , i=1,...,n$

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

$(x_1, y_1) ,....,(x_n,y_n)$

For this case we assume that we want to find a linear regression model given by:

$\hat y = \hat m x +\hat b$

Where:

$\hat m$ represent the estimated slope for the model

$\hat b$ represent the estimated intercept for the model

And for any estimation of the dependent variable $\hat y_i , i=1,...,n$ is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

$e_i = y_i -\hat y_i , i=1,...,n$

So the best option for this case is:

d. residual

7 0

3 years ago

What are my zeros (x^2 - 8x + 1)?

Pavel [41]

Answer:

x= 7.87298334621 x=.12701665379

Step-by-step explanation:

This is in standard form so we have to factor this into

x^2-8x + 16 + 1 = 16

(x-4)^2 = 15

(x-4) = $\sqrt{15\\}$

x-4= ± 3.87298334621

x-4 = 3.87298334621 x-4= -3.87298334621

x= 7.87298334621 x=.12701665379

7 0

2 years ago