Answer:
When 324 belts have been produced, the average cost is changing at -28 dollars for each additional belt.
Step-by-step explanation:
The cost of producing x belts is given by:
Find the rate at which average cost is changing when 324 belts have been produced.
This is . So
So the correct answer is:
When 324 belts have been produced, the average cost is changing at -28 dollars for each additional belt.
Answer:
48°
Step-by-step explanation:
We can use the explanations from my previous answers to solve this. Lines are 180 degree angles. Use the equation: x + 132 = 180
Solve that:
180 - 132 = 48
This question is solved applying the formula of the area of the rectangle, and finding it's width. To do this, we solve a quadratic equation, and we get that the cardboard has a width of 1.5 feet.
Area of a rectangle:
The area of rectangle of length l and width w is given by:
w(2w + 3) = 9
From this, we get that:
Solving a quadratic equation:
Given a second order polynomial expressed by the following equation:
.
This polynomial has roots such that , given by the following formulas:
In this question:
Thus a quadratic equation with
Then
Width is a positive measure, thus, the width of the cardboard is of 1.5 feet.
Another similar problem can be found at brainly.com/question/16995958
Apparently, the calculator at the link in your lesson is fully capable of giving you the necessary numbers. My own TI-84 work-alike gives me the account balances, but the rest of the numbers need to be figured.
In 30 years, there are 12×30 = 360 months, or 4×30 = 120 quarters. See the calculator results below. Your table can be filled in using the given information to find the contribution amount. The calculator gives the final balance. The interest amount is found by subtracting the contribution amount from the final balance.
Answer with explanation:
Given : The computed r -value = 0.45
Sample size : n=18
Degree of freedom :
Now, the critical value for Pearson correlation coefficient for a two-tailed test at a .05 level of significance will be :
( by critical correlation coefficient table)
Since , i.e. 0.45>0.468 , then we say that his Pearson correlation coefficient is not significant for a two-tailed test at a .05 level of significance.