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Gnom [1K]
3 years ago
14

Bakery rolls are being prepared to go to grocery stores. Divide 72 rolls into 2 groups so the ratio is 3 to 5.

Mathematics
1 answer:
kirza4 [7]3 years ago
5 0
45 rolls are in a group and 27 rolls are in the other group
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Basketballs cost $17 each. Adam purchased 8 basketballs for $136. Which equation uses the distributive property to show that Ada
arlik [135]

Answer:

c

Step-by-step explanation: because if you add  all of the 17's you will get 136 in total

3 0
2 years ago
A scientist has two solution which she labelled, solution A and solution B, each continue salt,she knows that solution A is 65%
Lorico [155]
A = oz of the solution A

b = oz of the solution B



The scientist knows that solution A is 45% salt and solution B is 95% salt. She wants to obtain 80 ounces of a mixture that is 65% salt.



a + b = 80



0.45a + 0.95b = 0.65*80



by solving the above system of equations you'll find····



a = 48 oz



b = 32 oz

~I hope this helped~

If it doesn't make since, I can try to switch up the wording ^^

7 0
3 years ago
HELP PLEASE ANSWER QUICK VERY EASY!!!
sleet_krkn [62]

Answer:

id say c. because its the closest number that corresponds with the graph.

5 0
3 years ago
Yolanda wants to pour 91.48 grams of salt into a container so far she has poured 72.2 grams how much more salt should Yolanda po
NeTakaya

Answer:

19.28

Step-by-step explanation:

91.48 minus 72.2

5 0
2 years ago
Read 2 more answers
. The estimate regression equation for a model involving two independent variables and 10 observations follows.y = 29.1270 + 0.5
beks73 [17]

Answer:

b) y = 289.815 when x_1 = 180 \text{ and } x_2 = 310

Step-by-step explanation:

We are given the following information in the question:

y = 29.1270 + 0.5906x_1 + 0.4980x_2

where y is the dependent variable,

x_1, x_2 are the independent variable.

The multiple regression equation is of the form:

y = b_0 + b_1x_1 + b_2x_2

where,

b_0: is the intercept of the equation and is the value of dependent variable when all the independent variable are zero.

b_1: It is the slope coefficient of the independent variable x_1.

b_2: It is the slope coefficient of the independent variable x_2.

  • The regression coefficient in multiple regression is the slope of the linear relationship between the dependent and the part of a predictor variable that is independent of all other predictor variables.

Comparing the equations, we get:

b_1 = 0.5906\\b_2 = 0.4980

  • This means holding x_2 constant, a change of one in x_1 is associated with a change of 0.5906 in the dependent variable.
  • This means holding x_1 constant, a change of 1 in x_2 is associated with a change of 0.4980 in the dependent variable.

b) We have to estimate the value of y

y = 29.1270 + 0.5906(180) + 0.4980(310) = 289.815

3 0
3 years ago
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