The Equation of life expectancy is x- 0.4(2) = 80.2.
Equations are mathematical statements with two algebraic expressions flanking the equals (=) sign on either side.
It demonstrates the equality of the relationship between the expressions printed on the left and right sides. LHS = RHS is a common mathematical formula.
Coefficients, variables, operators, constants, terms, expressions, and the equal to sign are some of the components of an equation. The "=" sign and terms on both sides must always be present when writing an equation.
Given:
The life expectancy of a woman born in 1995 was 80.2 years.
The life expectancy increased 0.4 year every 5 years.
So, from 1995 to 2005 there are two times the life expectancy increase.
let the lifeexpectancy by x.
Thus, the equation is
x- 0.4(2) = 80.2
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Answer:
a. L - 0.4(2)= 80.2 or L - 80.2 = 0.4(2) or 80.2 + 0.4(2) = L
b. No; The equations must be equivalent. They may look different, but all equations can be rewritten as L= 80.2 + 0.4(2).
Step-by-step explanation:
Answer:
× B + A
Step-by-step explanation:
Given equations are x + y = 12 ---------(A)
and equation y - x = 6 -------------(B)
To eliminate the variable x we will multiply equation A by
and add it to equation B.
In other words, the expression that we will adopt to eliminate the variable x will be × B + A
exponential, because there is a relatively consistent multiplicative rate of change
exponential, because there is a relatively consistent additive rate of change
linear, because there is a relatively consistent multiplicative rate of change
linear, because there is a relatively consistent additive rate of change
Answer: first choice, exponential, because there is a relatively consistent multiplicative rate of change.
Explanation:
1) I have attached the figure with the data table that represents the temperature of a cup of coffee over time.
These are the data:
Time (min) ------ Temperature (°F)
0 ----------------------- 200
10 ---------------------- 180
20 --------------------- 163
30 --------------------- 146
40 ---------------------131
50 -------------------- 118
60 -------------------- 107
2) Since, the increase in time is constant, while the decrease in temperaute is not, you know that it is not linear.
3) The other two options involve exponential models.
The exponential models have a constant multiplicative rate of change, not additive. Therefore, the only feasible choice is the first one: temperature of a cup of coffee over time.
4) You can prove it:
i) Exponential models have the general form y = A [r]ˣ, where B is r is the multiplicative rate of change: any value is equal to the prior value multiplied by r:
y₁ = A [r]¹
y₂ = A[r]²
y₂ / y1 = r ← as you see this is the constant multiplicative rate of change.
ii) Test some data:
180 / 200 = 0.9
163 / 180 ≈ 0.906 ≈ 0.9
146 / 163 ≈ 0.896 ≈ 0.9
131 / 146 ≈ 0.897 ≈ 0.9
118 / 131 ≈ 0.901 ≈ 0.9
107 / 118 ≈ 0.907 ≈ 0.9
As you see all the data of the table have a relatively consistent multiplicative rate of change, which proves that the temperature follows an exponential decay; so the right choice is the first one.
A. exponential, because there is a relatively consistent multiplicative rate of change