Less than or equal to first equation (solid line)
less tha second equation ( the dotted line)
so its d
The area painted red on one of the front wheels on DeMarius’ car will be 80.42 inches².
<h3>How to calculate the area?</h3>
From the information given, the The front wheels on DeMarius’ car are divided into sectors of equal area and the radius of each wheel is 8 inches. The area will be:
= 2/5 × πr²
= 0.4 × 3.14 × 8²
= 80.42 inches²
The radius, in feet, of a rear wheel on the car will be:
r1(2π) = r2(2π)
8(2π) = r2(8/5)(2π)
16 = r2(8/5)
r = 5/8 × 16
r = 10 inches
r = (5/6) feet
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Sure this question comes with a set of answer choices.
Anyhow, I can help you by determining one equation that can be solved to determine the value of a in the equation.
Since, the two zeros are - 4 and 2, you know that the equation can be factored as the product of (x + 4) and ( x - 2) times a constant. This is, the equation has the form:
y = a(x + 4)(x - 2)
Now, since the point (6,10) belongs to the parabola, you can replace those coordintates to get:
10 = a (6 + 4) (6 - 2)
Therefore, any of these equivalent equations can be solved to determine the value of a:
10 = a 6 + 40) (6 -2)
10 = a (10)(4)
10 = 40a
Solution :
a.The table below shows the different distribution of the students in differnt majors :
Subjects No. of graduates
Accounting 28
Finance 21
Management 24
Info System 16
Marketing 22
Therefore, "accounting" have the maximum number of graduates.
b. The average monthly salaries of the graduates from some of the different majors are :
Subjects Average salary Overall salary
Finance 699 77595
Accounting 1014 112560
Info Sys 577 64000
Marketing 663 73590
Management 688 76320
Therefore, the "Accounting" group have the highest average salary.
c. The "info System" has the lowest overall salary.
2.b. The data showing is more or less the linear relationship between the "Annual Expenses" and the "Weekly usage", therefore initially, we fit the linear regression equation of the form.

The ordinary least square estimates are 
So, 
c. The amount of the variation the estimated model explains for the entire variation is given by the measure of

= 0.856
It shows the linear regression that explains the good amount of entire variability of the annual expenses. It also supports the assumption of the "Linear Model".
a. The Scatter plot is attached below.
Answer:
The answer is 346.185 if its diameter is 22.