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Marizza181 [45]
3 years ago
11

Please solve this I'll give a good review and comment ty ^^ I also will give brainly if somebody else answers

Mathematics
1 answer:
IRISSAK [1]3 years ago
6 0

Answer:

3. B

4. D

5. A

enjoy

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Ella used 3 4 of a bag of lemons to make 1 2 liters of lemonade. If Ella's recipe is for 1 liter of lemonade, how many lemons wi
Sergeeva-Olga [200]

<u>Answer:</u>

Ella will need 6 lemons for 4 times the recipe

<u>Explanation:</u>

Given Ella used ¾ of a bag of lemon to make ½ liters of lemonade

Therefore, we can form an equation as:

¾ bag lemons = ½ liter lemonade

According to question,

Ella recipe is for 1 liter of lemonade

Lemons required for ½ liter lemonade = \frac{3}{4} bag

Lemons required for 1 liter lemonade =\frac{3}{4}\times 2 = 3/2 bags

To make 4 times the recipe, she will require,

\frac{3}{2} \times 4 = 3 \times 2 = 6

She will need 6 lemons for 4 times the recipe

3 0
3 years ago
Read 2 more answers
Aaron is at a spot in his book where the page numbers of the two facing pages have a product of 1980 what are the two page numbe
Alona [7]
Basically you know that they are 2 consecutive numbers whose product is 1980. 
<span>n*(n+1)=1980 </span>
<span>n^2 + n - 1980 = 0 </span>
<span>(n -44)(n + 45)= 0 </span>
<span>n=44 </span>
<span>so the 2 page numbers is 44 and 45. </span>

<span>The faster way is just to take the square root of 1980 and since that is 44.497 you can conclude that the 2 numbers is below and above it (44, 45)</span>
5 0
2 years ago
WHAT IS THE ANSWER TO -2(y-3)=22
Eva8 [605]
-2(y-3)=22 
-2y+6=22
-2y=16
y=-8
8 0
2 years ago
Assumptions of a regression model can be evaluated by plotting and analyzing the ____________
Gala2k [10]

The assumptions of a regression model can be evaluated by plotting and analyzing the error terms.

Important assumptions in regression model analysis are

  1. There should be a linear and additive relationship between dependent (response) variable and independent (predictor) variable(s).
  2. There should be no correlation between the residual (error) terms. Absence of this phenomenon is known as auto correlation.
  3. The independent variables should not be correlated. Absence of this phenomenon is known as multi col-linearity.
  4. The error terms must have constant variance. This phenomenon is known as homoskedasticity. The presence of non-constant variance is referred to heteroskedasticity.
  5. The error terms must be normally distributed.

Hence we can conclude that the assumptions of a regression model can be evaluated by plotting and analyzing the error terms.

Learn more about regression model here

brainly.com/question/15408346

#SPJ4

4 0
2 years ago
Explain how the equation A = l × w is a formula.
devlian [24]

A formula helps you or tells you what to do to find the are, perimeter, volume of any shape. A = 1 x w is a formula to find an area of a 2-d figure. it is a formula becuase it tells you what to do to find the area.


8 0
2 years ago
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