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saveliy_v [14]
2 years ago
5

Please I’ve been stuck on this question

Mathematics
2 answers:
shutvik [7]2 years ago
6 0

Answer: b

Step-by-step explanation:

Zielflug [23.3K]2 years ago
3 0
The answer is C. 6.

you would divide 9 by 6 to get 1.5. then multiply 4 by 1.5 to get 6.
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Andrew buys books and videos in a store. He uses the expression 4b + 8v to find the cost of what he is buying, where b is the nu
7nadin3 [17]

Answer:

68

Step-by-step explanation:

1) Plug In (when you plug in you replace the defined variable with the number given. usually you have to find the numbers to plug in but since they're already given to you you just plug them in.) 4(3) + 8(7)=T   T= total cost

2) Multiply 4*3=12 8*7=56

3) Add 12+56=68

4) <u>T=68</u>

7 0
2 years ago
3 more than the cube of a number.
Artemon [7]

Answer:

x³+3

Step-by-step explanation:

3 0
2 years ago
Read 2 more answers
Joe paid $14.00 for a board game. This is 70% of the original price ? $4.20 $20.00 $9.80 $21.00
meriva
I believe this question should be from an I-Ready test. The answer would be $20.00. Because 70% of 20.00 is 14
5 0
3 years ago
Solve for x. <br><br> 12x/5 = 18
jarptica [38.1K]
For this problem you have to isolate the variable. To do this you must inverse the operations. Multiply 18 by 5, then divide by 12 to get your answer of 7.5
3 0
3 years ago
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
2 years ago
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