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Sladkaya [172]
3 years ago
14

PLS HELP I’ve been trying to do this but I just can’t do it

Mathematics
2 answers:
Dmitrij [34]3 years ago
8 0

Answer:

the answer is 8:1 so 8/1

Step-by-step explanation:

Zarrin [17]3 years ago
7 0

Answer:

26/3

Step-by-step explanation:

6 cups flour

3/4 cup of sugar

ratio of flour to sugar is

(6 flower : 3/4 sugar) multiply both sides by 4

26 flower : 3 sugar

so the ratio is 26/3

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What is the volume of this right triangular prism? please help!!!! 40 points!! ill mark brainliest ​
OleMash [197]

Answer:

180

Step-by-step explanation:

3 0
2 years ago
Help me please I can’t figure it out
Wittaler [7]

Answer:

2 m

Step-by-step explanation:

The bottom length of the bottom cuboid is equal to the top length of the bottom cuboid.

8 = 3 + c + 3

8 = c + 6

8 - 6 = c

2 = c

6 0
3 years ago
Read 2 more answers
The difference between the observed value of the dependent variable and the value predicted using the estimated regression equat
Elenna [48]

Answer:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

Step-by-step explanation:

For this case we define the dependent variable as Y and the independent variable X. We assume that we have n observations and that means the following pairs:

(x_1, y_1) ,....,(x_n,y_n)

For this case we assume that we want to find a linear regression model given by:

\hat y = \hat m x +\hat b

Where:

\hat m represent the estimated slope for the model

\hat b represent the estimated intercept for the model

And for any estimation of the dependent variable \hat y_i , i=1,...,n is given by this model.

The difference between the observed value of the dependnet variable and the value predicted using the estimated regression equation is known as residual, and the residual is given by this formula:

e_i = y_i -\hat y_i , i=1,...,n

So the best option for this case is:

d. residual

7 0
3 years ago
HELPPPPP I NEED TO DO THIS BEFORE 8:00​
inessss [21]

Answer:

I believe it is D.. Im not 100% sure though !! goodluck

Step-by-step explanation:

6 0
2 years ago
Read 2 more answers
What are the possible numbers of positive, negative, and complex zeros of f(x)=x^6-x^5-x^4+4x^3-12x^2+12?
Vadim26 [7]
f(x)=x^6-x^5-x^4+4x^3-12x^2+12\\\\12:\{\pm1;\ \pm2;\ \pm3;\ \pm4;\ \pm6;\ \pm12\}\\1:\{\pm1\}\\\\Answer:\boxed{\{\pm1;\ \pm2;\ \pm3;\ \pm4;\ \pm6;\ \pm12\}}
8 0
3 years ago
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