Answer:
576
Step-by-step explanation:
First off, we can use the area of a kite formula, (D1*D2)/2 to get the area of one side of the kite, which is simplified to 18 * 32 : which gets us 288. But because we are looking for the area of the front and back side, we multiply 288 by 2- getting the final answer of <u>576</u>.
Answer:
c = -64
Explanation:
c/(-4) = 16
multiply the equation by -4,
c/(-4) × (-4) = 16 × (-4)
c = 16 × (-4)
c = -64
Answer:
x = 59/35
Step-by-step explanation:
<u>Step 1: Distribute</u>
1/8 - 10(3/4 - 3/8x) + 5/8x
1/8 - 30/4 + 30/8x + 5/8x
<u>Step 2: Combine like terms</u>
1/8 - 30*2/4*2 - 30/8x + 5/8x
1/8 - 60/8 + 35/8x
-59/8 + 35/8x
<u>Step 3: Solve for x</u>
-59/8 + 35/8x + 59/8 = 0 + 59/8
35/8x * 8/35 = 59/8 * 8/35
x = 59/35
Answer: x = 59/35
An inverse function is a function that reverses another function, so we have a function called:
Then, the inverse function will be as follows:
Given that
, we need to isolate x in terms of y:
∴
So:
and
therefore, exchanging variables x and y:
and
and
Which are the figures shown below.
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