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ASHA 777 [7]
3 years ago
15

RIDDLE ME THIS Fresh and invigorated after completing her algebra homework, Mimi appeared at the living room door. She held a pi

ece of paper covered in scribbled numbers, 'm's, 'd's, and equations. "Dad!" she announced. "Five years from now you'll be only double my age!" "Amazing!" Dad almost looked up from the TV, but knew she hadn't finished. "But five years ago, you were triple my age then!" "I suppose in another ten years we'll be the same age," Dad grunted, changing channels. How old is Mimi? Hint Don't pay any attention to Dad's rather mindless comment at the end! He'd had a tough day.
Mathematics
1 answer:
Marat540 [252]3 years ago
8 0

Answer:

Mimi is 15.

Step-by-step explanation:

Set up two equations, and solve by elimination.

 2(m+5) = d+5

- 3(m-5) =  d-5

_____________

2(m+5) - 3(m-5) = 10

2m + 10 - 3m + 15 = 10

-m + 25 = 10

-m = -15

<u>m = 15</u>

Plug this back in to get dad's age.

2(m+5) = d+5

2(15+5) = d + 5

2(20) = d + 5

40 = d + 5

<u>d = 35</u>

<u></u>

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Simplify: −7 + {12 − 3[50 − 4(2 + 3) ] }
DedPeter [7]

Answer:

-85

Step-by-step explanation:

<em><u>1) (2 + 3)</u></em>

-7 + {12 - 3[50 - 4(5) ] }

<em><u>2) -7 + {12 - 3[50 - 20] }</u></em>

-7 + {12 - 3[30] }

<em><u>3) -7 + 12 - 90</u></em>

5 - 90

<u>Answer: -85</u>

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What is the equation of a line with a slope of 3 and contains<br> point (4.1)
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Answer:

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Step-by-step explanation:

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Answer:

x = 0.5

Step-by-step explanation:

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An analysis of the decay of 10 grams of an unstable element over time was completed and is displayed in the computer output.
Lady bird [3.3K]

The equation of the least-squared regression line is: In(Element) = 2.305 - 0.101(Time).

<h3>What is a regression line?</h3>

A regression line displays the connection between scattered data points in any set. It shows the relation between the dependent y variable and independent x variables when there is a linear pattern.

According to the given problem,

From the table we can see,

ln(Element) is the dependent variable and Time is the independent variable.

The constant = 2.305,

Time = -0.101

Hence, we can conclude, our least squared regression line will be

In (Element) = 2.305 - 0.101 (Time).

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