Answer:
all three sides are congruent.
Step-by-step explanation:
it is equiangular.
sides are equal.
angles are equal.
all three sides are congruent.
ANSWER:
________
Line q = 3
Line v = -1/2
FORMULA
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y2 - y1 / x2 - x1
EXPLANATION:
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First, we need to find the slope for line a only
We need to select two points from line q. The ones I selected are (-3,18) and (2,33)
y2 = 33
y1 = 18
x2 = 2
x1 = -3
33 - 18 = 15
2 - -3 = 5
15/5 = 3
Next, we need to find the slope for line v.
The two points I picked are (0,8) and (10,3)
y2 = 8
y1 = 3
x2 = 0
x1 = 10
8 - 3 = 5
0 - 10 = -10
5/-10 = -1/2
And that’s how you get your answer :)
PUN OF THE DAY
_______________
Why did Adele cross the road? To say hello from the other side.
I hoped this helped! And have a •AMAZING• day :3
Answer:
The correct answer is: " x > 2 " .
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Step-by-step explanation:
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Given the inequality:
" 6x > 12 " ;
Solve in terms of "x" :
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Divide each side of the inequality by "6" ;
to isolate "x" on one side of the inequation; & to solve in terms of "x" ;
→ " 6x / 6 > 12 / 6 " ;
to get:
→ " x > 2 " .
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Hope this is helpful to you.
Best wishes to you in your academic pursuits
— and within the "Brainly" community!
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Two trips a day for 5 days = 10 trips
(3/10)(10)= 3 miles
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
