For this question the answer would be A.
Answer:
we're is the graph I need the graph then I could help you out
The value of the constant of variation is 1/8 if the quantity m varies jointly with p and r when p is 2 and r is 4, m is 1.
<h3>What is directly proportional?</h3>
It is defined as the relationship between two quantity as the one quantity increases the other quantity also increases and vice versa.
We have a quantity m varies jointly with p and r.
Mathematically,
m ∝ p×r
After removing the proportional sign, a constant of proportionality encountered.
Let's c is the constant.
m = c(p×r)
If p = 2, r = 4, and m = 1
1 = c(2×4)
1 = 8c
c = 1/8
Thus, the value of the constant of variation is 1/8 if the quantity m varies jointly with p and r when p is 2 and r is 4, m is 1.
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Answer:
No real Solution
Step-by-step explanation:
Plug a=14, b=9, and c=10 into the quadratic formula, and you'll get
since -479 is negative, you'll get an imaginary number.
Answer:
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.
Step-by-step explanation:
The interval level of measurement is most appropriate because the data can be ordered, differences (obtained by subtraction) can be found and are meaningful, and there is no natural starting point.
Our variable is numerical but we have a starting point defined so it can't be an interval variable.
The nominal level of measurement is most appropriate because the data cannot be ordered.
False on this case the bolume can't be a nominal variable since we don't have a categorical variable.
The ordinal level of measurement is most appropriate because the data can be ordered, but differences (obtained by subtraction) cannot be found or are meaningless.
False we don't have ordered relationship among the variable’s observations
The ratio level of measurement is most appropriate because the data can be ordered differences can be found and are meaningful, and there is a natural starting zero point.
That's the correct answer since our variable is numerical and have a natural starting point at 0 and the negative values not makes sense.