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babymother [125]
3 years ago
5

WILL MARK BRAINLIEST!!!

Mathematics
1 answer:
andrew11 [14]3 years ago
7 0

Answer:

2/3

Step-by-step explanation:

k = y/x

k = 2/3

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Find the distance between (16,12) and (0,0)
Natasha_Volkova [10]

Answer:

3/4 using equation y2-y1/x2-x1

Step-by-step explanation:

Use the equation y2-y1/x2-x1

x1, y1  x2, y2

(16,12) (0,0)

0-12/0-16= -12/-16= 3/4

7 0
3 years ago
(5p^2 - 3) + (2p^2 - 3p^3)
jeyben [28]
(5p² - 3) - (2p² - 3p³)
(5p² - 2p²) - 3 + 9p³
3p² - 3 + 9p³
4 0
3 years ago
1 1/5 as decimal because im doing surface area but its hard​
professor190 [17]

Answer:

1.2

Step-by-step explanation:

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3 years ago
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Nady [450]

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Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
When a dummy variable is included in a regression model that has one numerical independent variable, what assumption do you need
sukhopar [10]

Answer:

Step-by-step explanation:

You need to assume that the slope between the dependent Varian and the numerical independent variable is zero.

In regression analysis, to find the effect of one independent variable on the dependent variable, there has to be no interference from the other independent variables whether they be categorical (dummy) or numerical independent variables.

A dummy variable is one which takes on the value of 0 or 1, to represent the absence or presence (respectively) of a given category which is expected to influence the dependent variable.

When a dummy independent variable is included in a regression model, to know the effect of that dummy or category (e.g. day =1, night =0) on the dependent variable, the influence of the numerical independent variable has to be removed temporarily.

In a regression equation,

Y=a+bX+cK

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a is the intercept on the vertical axis on the graph

b is the slope between the dependent variable Y and the independent numerical variable X

c is the slope between the dependent variable Y and the dummy variable K

3 0
3 years ago
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