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liubo4ka [24]
3 years ago
11

Find the inverse function of y=8x.

Mathematics
1 answer:
Zarrin [17]3 years ago
4 0

Answer:

x/8

Step-by-step explanation:

how I see the problem I just put the 1 over the 8 because you can't really do anything else with the problem

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moby sold half his toy car collection, and then bought 12 more cars the next day. he now has 48 toy cars . how many cars did he
Zinaida [17]

Answer:

18

Step-by-step explanation:

48-12 = 36

36/2

18

5 0
3 years ago
Solve the equation f(x)=g(x) by graphing the functions f(x)=2x+1 and g(x)=5 on the same set of coordinate axes. Which statements
elixir [45]

Answer:

The ordered pair that contains the solution to the equation lies in Quadrant I.

The solution to the equation is x=2

Hope you ace your test!

7 0
4 years ago
Ave: 7k- 14 = 42<br> How do you solve it
Misha Larkins [42]

Answer:

Im going to guess k is the unknown

Step-by-step explanation:

7k-14=42

42+14=7k

56=7k

56/7=k

k=8

4 0
3 years ago
Read 2 more answers
What is the slope of (-4,3) and (-3,1)
xxTIMURxx [149]
-.5 or negative 1/-2
same thing just in a dec and frac
8 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

Y is the dependent variable

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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