The rate of change represents the <em>variable production</em> cost rate. The <em>production</em> cost is increased in 1200 units per each <em>additional</em> manufactured car.
<h3>
Interpretation of a linear function</h3>
Let be 
and 
the production cost and the number of vehicles produced, it there is a <em>linear</em> relationship between the two variables, then we have the following formula:
(1)
Where:
- Fixed production costs.
- Variable production cost rate.
In a nutshell, the rate of change represents the <em>variable production</em> cost rate. The <em>production</em> cost is increased in 1200 units per each <em>additional</em> manufactured car. 
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Answer:
P(x) = 3.88x -1750
Step-by-step explanation:
Profit is the difference between revenue and cost.
P(x) = R(x) - C(x)
P(x) = 4.1x -(0.22x +1750) . . . . . substitute the given expressions
P(x) = 3.88x -1750 . . . . . . . . . . simplify
<span> a⁴(3a² - 2a + 1)
We just have to multiply each term inside the parentheses by a⁴ .
a⁴</span><span>(3a² ) = 3a⁶
a⁴</span><span>( - 2a ) = -2a⁵
a⁴</span><span>( 1) = a⁴
Now, just addum up : 3a⁶ - 2a⁵ + a⁴</span>
Answer:
80x
Step-by-step explanation:
If you pay 80 a month then to find the total you have paid after any number of months you would multiply amount times time which in this case is 80
a constant is the a number on its own so in this case there would be none
a coefficient is the number in front of a variable. Since the equation is 80x the coefficient is 80
Answer:
Step-by-step explanation:
Given that:
Population Mean = 7.1
sample size = 24
Sample mean = 7.3
Standard deviation = 1.0
Level of significance = 0.025
The null hypothesis:
The alternative hypothesis:
This test is right-tailed.
Rejection region: at ∝ = 0.025 and df of 23, the critical value of the right-tailed test 
The test statistics can be computed as:
t = 0.980
Decision rule:
Since the calculated value of t is lesser than, i.e t = 0.980 < , then we do not reject the null hypothesis.
Conclusion:
We conclude that there is insufficient evidence to claim that the population mean is greater than 7.1 at 0.025 level of significance.
