Part (a)
Independent variable = age
Dependent variable = height
"depends on age" indicates that age is independent.
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Part (b)
Independent variable = amount of sleep
Dependent variable = mood
The key word is "determines". The stuff before this word is the independent variable which affects the dependent variable.
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Part (c)
Independent variable = time water has been running
dependent variable = amount of water in the tub
Time is usually the independent variable
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Part (d)
Independent variable = speed
dependent variable = distance from home
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Part (e)
Independent variable = amount of homework done
dependent variable = speed
This seems like an odd pairing of homework and speed. Could there be a typo? I noticed that part (f) is very similar
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Part (f)
Independent variable = amount of hw that is assigned
dependent variable = amount of homework done
Like with part (a), the stuff before "depends" is the dependent variable
I think it’s A sorry if I’m wrong
3t=4s+5 (s=side of square, t= side of triangle)
s=t-3, t=s+3, using this value for t in the first equation gives us:
3(s+3)=4s+5
3s+9=4s+5
-s=-4
s=4
so the side length of the square is 4cm and the area of a square is just s^2
A=16cm^2
Answer:
The return on assets in this business for Macrosoft is
ROA = 10.50%
Step-by-step explanation:
Return on Equity:
ROE represents how much a firm is generating profits by using the shareholder's money.
ROE is calculated as
Return on Assets:
ROA represents how much a firm is generating profits for every dollar of its assets.
ROA is calculated as
What is the return on assets in this business if Macrosoft has no debt?
Debt plays an important role in the calculations of return on assets.
We know that
Assets = Liabilities + Equity
Since the Macrosoft has no debt, its return on assets will be same as return on equity.
Assets = Equity
ROA = ROE
ROA = 10.50%
Answer:
The alternate hypothesis is that newborn infants has a mean weight of 7.56 pounds.
Step-by-step explanation:
Let's find an alternate hypothesis by using the formula:
mean=(sum of all data)/(number of data points) so:
sum of all data=9.0+7.3+6.0+8.8+6.8+8.4+6.6=52.9 and:
number of data points=7 so:
mean=52.9/7=7.56 pounds
The alternate hypothesis is that newborn infants has a mean weight of 7.56 pounds.
