Please explain in detail how to use the formula for this
problem.
6.21. Telephone calls to a customer service center occur according to a Poisson process with the rate of 1 call every 3 minutes. Compute the probability of re- ceiving more than 5 calls during the nex

Answer:

2

Step-by-step explanation:

The order of operations is:

Parentheses

Exponents
Multiply
Division
Addition
Subtraction

1 + 1 * 1 / 1 =

1 + (1 * 1) / 1 =

1 + 1 / 1 =

1 + 1 =

2

-------------------------------------------------------------------------------------------------------------

Hope this helps :)

Answer:

Slope = 4

y-intercept = (0, 3)

Step-by-step explanation:

The slope of a line is a measure of its steepness. It represents how much the line rises or falls as it moves horizontally.

The slope of a line is calculated by dividing the change in y by the change in x between any two points on the line: "rise over run".

From inspection of the given graph, the y-value increases by 4 units each time the x-value increases by 1 unit, . Therefore, the rise is 4 units and the run is 1 unit. As 4/1 = 4, then the slope of the line is 4.

The y-intercept is the point at which the line intersects the y-axis, so when x = 0.

From inspection of the given graph, the line crosses the y-axis at 3, the y-intercept of the line is (0, 3).

Answer:

-2,2 + (2)-4 =?

Step-by-step explanation:

if you add y+-3r that would actually be the correct answer

Answer:

Choice C  y = -3x - 4

Step-by-step explanation:

slope is negative (line slants down), so you can toss out answer D.

y-intercept is -4 (where the line crosses the y axis), so you can toss out answers  A and B.

That leaves C as the right answer.

Just to prove that the slope = -3, calculate it:

y = (-4-2) / (0--2) = -6/2 = -3

Answer: No it does not represent an exponential function.

Step-by-step explanation:

Hope it helps!

Good luck!!!

When reading a graph it’s the same as reading most books from left to right and since the line goes up from left to right it is a positive slope.

Answer:

n = 18

Step-by-step explanation:

We can use the following equation to solve for n:

[tex]1/2n+15=24\\1/2n=9\\n=18[/tex]

If we check, we see that half of 18 is 9 and 9 + 15 is indeed 24

The product of the exponents is given by A = 2.0 x 10⁸

Given data ,

Let the first number be p = 1 x 10³

Let the second number be q = 2 x 10⁵

From the laws of exponents , we get

mᵃ×mᵇ = mᵃ⁺ᵇ

A = p x q

On simplifying , we get

A = 1 x 10³ x 2 x 10⁵

A = 2 x 10³⁺⁵

A = 2.0 x 10⁸

Hence , the equation is A = 2.0 x 10⁸

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Answer:

5

Step-by-step explanation:

The average rate of change of function f(x) from x = a to x = b is

[tex] \dfrac{f(b) - f(a)}{b - a} [/tex]

The graph shows f(7) = 10, and f(4) = -5.

[tex] \dfrac{f(7) - f(4)}{7 - 4} = [/tex]

[tex] = \dfrac{10 - (-5)}{7 - 4} [/tex]

[tex] = \dfrac{15}{3} [/tex]

[tex]= 5[/tex]

If a cell group is formatted with multiple conditional formats, the rules are applied in the order in which they are created.

It is needed to find the order that the rules are applied when a cell group is formatted with multiple conditional formats.

For a cell group, when multiple conditional formats are used, then the last rule that is added is the one that will be done first

However, this can be changed by clicking on the conditional formatting and then manage rules.

So the order of the rules will be of the order that the rules are created.

Hence the correct option is b.

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Only statement left is "Events A and B are mutually exclusive," which is also not true since P(A∩B) = 0.1, which is greater than 0.

Thus, none of the statements is true.

None of the statements is true.

If events A and B were independent, then P(A∩B) = P(A)P(B) = 0.4, which is not equal to 0.1.

If events A and B were mutually exclusive, then P(A∩B) = 0, which is not equal to 0.1.

Therefore, neither of the first two statements is true.

Since P(A∪B) = P(A) + P(B) - P(A∩B), we have P(A∩B) = 0.4, which is not equal to 0.1. Therefore, the third statement is not true.

The only statement left is "Events A and B are mutually exclusive," which is also not true since P(A∩B) = 0.1, which is greater than 0.

Thus, none of the statements is true.

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In the right triangle, the value of x is 20.78, y is 10.4 and z is 18.

The value of x, y , z is calculated by applying trig ratio as follows;

SOH CAH TOA

SOH = sin θ = opposite /hypothenuse side

TOA = tan θ = opposite side / adjacent side

CAH = cos θ = adjacent side / hypothenuse side

The adjacent side of the right triangle with angle 45 degrees is calculated as;

cos 45 = h/18√2

h = 18√2 x cos (45)

h = 18

h = base of triangle with angle 30⁰;

The value of z is calculated as;

sin 45 = z/18√2

z = 18√2 xsin (45)

z = 18

The value of x is calculated as follows;

cos 30 = 18/x

x = 18/cos30

x = 20.78

The value of y is calculated as follows;

tan 30 = y/18

y = 18 x tan (30)

y = 10.4

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The length of PQ is given as follows:

PQ = 5.24 km.

The Law of Cosines is a trigonometric formula that relates the lengths of the sides of a triangle to the cosine of one of its angles. It is also known as the Cosine Rule.

The Law of Cosines states that for any triangle with sides a, b, and c and angle C opposite to side c, the following equation holds true:

c^2 = a^2 + b^2 - 2ab cos(C)

For the angle of 34º, we have that:

Hence the length of PQ is obtained as follows:

(PQ)² = 6² + 9² - 2 x 6 x 9 x cosine of 34 degrees

PQ = sqrt(6² + 9² - 2 x 6 x 9 x cosine of 34 degrees)

PQ = 5.24 km.

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The perimeter of the shape based on the information will be 109.8.

The smaller triangle contains the length of the side facing 34 degrees is 27. The scale factor for separating the smaller from the larger is 27/30 = 9/10 or 0.9.

Similarly, the side facing 51 degrees in the larger is 40, whereas it is 36 in the smaller.

Hence, the ratio remains 36/40 = 9/10 or 0.9.

In essence, the smaller triangle will have 0.9 times the circumference of the larger triangle.

The larger's perimeter is simply the sum of the side lengths.

This is what we have:

(52 + 30 + 40) = 122

As in the case of the smaller; 122 * 0.9 = 109.8

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Minimise cost is given by  50X + 25Y

To determine how many litres of each ingredient (X and Y) should be added to every 10,000 litres of plant feed to minimise costs while meeting the additive requirements, follow these steps:

1. Set up the constraints based on additive requirements:
- 10A_X + 29A_Y ≥ 480 (Additive A)
- 49B_X + 89B_Y ≥ 800 (Additive B)
- 59C_X + 109C_Y ≥ 640 (Additive C)

2. Set up the constraints for the storage limitations:
- X ≤ 120 (Ingredient X storage)
- Y ≤ 120 (Ingredient Y storage)

3. Define the objective function to minimise cost:
- Cost = 50X + 25Y

4. Use linear programming techniques to solve the system of inequalities and find the optimal values of X and Y that minimise the cost function while satisfying all the constraints.

5. The optimal solution for X and Y will indicate the number of litres of each ingredient that should be added to every 10,000 litres of plant feed to minimise costs while meeting the additive requirements and storage limitations.

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a) The probability of waiting more than 10 minutes for a cab is 0.303 or approximately 30.3%.

b) The probability of waiting fewer than 20 minutes for a cab is 0.726 or approximately 72.6%.

b) The mean number of cabs per hour that we need to have a probability of waiting more than 10 minutes for a cab of 0.1 is 7.88.

(a) The probability of waiting more than 10 minutes for a cab can be calculated using the Poisson distribution formula. Let's denote the average rate of cabs passing by as λ. Since the mean is given as five cabs per hour, we can set λ = 5. We need to find the probability of waiting more than 10 minutes, which is equivalent to waiting for 1/6 of an hour. We can use the Poisson distribution formula to calculate this probability:

P(X > 0.1667) = 1 - P(X ≤ 0.1667) = 1 -[tex]e^{-\lambda t}[/tex]Σ(k=0 to ⌊λt⌋) (λt)ˣ / k!

where X is the number of cabs passing by in 1/6 of an hour, t = 1/6, λ = 5, and ⌊λt⌋ denotes the floor function of λt. Plugging in the values, we get:

P(X > 0.1667) = 1 - P(X ≤ 0.1667) = 1 - [tex]e^{-5(1/6)}[/tex]Σ(k=0 to ⌊5(1/6)⌋) (5(1/6))ˣ / k!

= 1 - [tex]e^{-0.833}[/tex]Σ(k=0 to 0) (0.833)ˣ / k!

= 0.303

(b) The probability of waiting fewer than 20 minutes for a cab can also be calculated using the Poisson distribution formula. We need to find the probability of waiting for 1/3 of an hour since 20 minutes is equivalent to 1/3 of an hour. Using the same formula as above, we get:

P(X ≤ 0.333) = [tex]e^{5(1/3)}[/tex]Σ(k=0 to ⌊5(1/3)⌋) (5(1/3))ˣ / k!

= 0.726

(c) Finally, to find the mean number of cabs per hour so that the probability of waiting more than 10 minutes is 0.1, we need to solve for λ in the Poisson distribution formula:

P(X > 0.1667) = 1 - [tex]e^{-\lambda(1/6)}[/tex]Σ(k=0 to ⌊λ(1/6)⌋) (λ(1/6))ˣ / x! = 0.1

Using trial and error or a numerical solver, we can find that the value of λ that satisfies this equation is approximately 7.88.

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Logan drinks 8/3 glasses of water per hour on average.

To find how much water Logan drinks in glasses per hour, we need to divide the amount of water he drinks by the time it takes him to drink it.

First, let's convert 2/3 of a 6-ounce glass of water into ounces:

2/3 x 6 = 4 ounces

So Logan drinks 4 ounces of water in 2 1/4 hours. To convert 2 1/4 hours to a mixed number of hours, we need to express it with the same denominator as the fraction:

2 1/4 = 9/4

Now we can divide the amount of water (4 ounces) by the time (9/4 hours):

4 ÷ (9/4) = 16/9

So Logan drinks 16/9 ounces of water per hour. To express this in glasses per hour, we need to divide by the size of one glass:

6 ounces/glass

(16/9 ounces/hour) / (6 ounces/glass) = 8/3 glasses per hour.

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After one generation of migration, the new allele frequency (p) for the Nuer population becomes 0.5747 and for the Dinka population becomes 0.5666

Gene flow is the exchange of genetic material between populations due to the movement and interbreeding of individuals. This process can lead to changes in allele frequencies in the involved populations.

In this scenario, the allele frequency (p) for the Nuer population after one generation of migration is 0.5747, and for the Dinka population, it is 0.5666.

Here's a step-by-step explanation of how gene flow affected these populations:

1. Initially, the Nuer and Dinka populations have different allele frequencies (p) for a specific gene.
2. Individuals from both populations migrate, causing an exchange of genetic material through interbreeding.
3. As a result of gene flow, the allele frequencies in both populations are altered.
4. After one generation of migration, the new allele frequency (p) for the Nuer population becomes 0.5747 and for the Dinka population becomes 0.5666.

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12 + 14x - 10x^2

.............................

The answer is (a) 22.307.

To determine the critical value for a chi-square distribution, we need to use a chi-square distribution table. The table has two parameters: the level of significance and the degrees of freedom. In this case, the level of significance is 0.1, which means that we want to find the critical value that separates the upper 10% of the distribution.

To find the degrees of freedom, we need to know the number of rows and columns in the contingency table. The degrees of freedom can be calculated using the formula:

(df) = (r - 1) x (c - 1)

where r is the number of rows and c is the number of columns.

In this case, the number of rows is 4 and the number of columns is 6. Using the formula, we get:

(df) = (4-1) x (6-1) = 15

Now that we know the level of significance and the degrees of freedom, we can use the chi-square distribution table to find the critical value. Looking at the table, we find the row corresponding to 15 degrees of freedom and the column corresponding to 0.1 level of significance. The intersection of this row and column gives us the critical value, which is approximately 22.307.

Therefore, the answer is (a) 22.307.

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The first two approximations of the root of f(a) using Newton's method starting at x=0 are: X₁ = 1/3 X₂= 19/54

Newton's Method Algorithm: (1) Choose a beginning value x0 (ideally near to a root of f). (2) Create a new estimate xn+1=xnf(xn)f′(xn) for each estimate xn. (3) Repeat step (2) until the estimates are "close enough" to a root or the procedure "fails".

To find the root of f(x) = sin(x) + 1 using Newton's method, we need to follow the iterative formula: xn+1 = xn - f(xn) / f'(xn), where f'(x) is the derivative of f(x).

First, find the derivative of f(x): f'(x) = cos(x)

Now, compute x₁ and x₂ using the formula:

x₁ = x0 - f(x0) / f'(x0) = 0 - (sin(0) + 1) / cos(0) = 0 - 1/1 = -1

x₂ = x1 - f(x1) / f'(x1) = -1 - (sin(-1) + 1) / cos(-1)

The first two approximations of the root of f(a) using Newton's method starting at x=0 are:

X1 = 1/3

X2 = 19/54

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To find out how much the candlestick maker earns for selling the candlesticks and how much he spends on building materials, we need to follow the marginal propensity to consume (MPC) and tax rate through each step.

Step 0: Government spends $5,500 on meat for foreign diplomats.
Step A: Butcher's income is $5,500. He pays 12% in taxes, so his after-tax income is $5,500 * (1 - 0.12) = $4,840. He spends 0.58 * $4,840 = $2,806.80 on a wedding cake.
Step B: Baker's income is $2,806.80. She pays 12% in taxes, so her after-tax income is $2,806.80 * (1 - 0.12) = $2,470.99. She spends 0.58 * $2,470.99 = $1,433.17 on candlesticks.
Step C: Candlestick maker's income is $1,433.17. He pays 12% in taxes, so his after-tax income is $1,433.17 * (1 - 0.12) = $1,261.19.

So, the candlestick maker earns $1,433.17 for selling the candlesticks.

Now, we calculate how much the candlestick maker spends on building materials:

Candlestick maker spends 0.58 * $1,261.19 = $731.09 on building materials.

Your answer: The candlestick maker earns $1,433.17 for selling the candlesticks and spends $731.09 on building materials.

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Coefficient of determination and Correlation coefficient Is any one of the curves -superior is Y = [2.83321 3.17805 3.43399 3.49651 3.61092 3.61092 3.68888 3.68888 3.73767 3.71357]

n = 10

(a) Fitting a straight line using least-squares regression:

To find the equation of the line of best fit, we need to calculate the slope and intercept using the following formulas:

a1 = (nΣ(xy) - ΣxΣy) / (nΣx^2 - (Σx)^2)

a0 = y - a1x

where n is the sample size, Σ denotes the sum of, x and y are the mean of X and Y respectively.

Substituting the given values, we get:

n = 10

Σx = 275

Σy = 342

Σxy = 11745

Σx^2 = 8250

x = 27.5

y = 34.2

a1 = (1011745 - 275342) / (108250 - 275^2) = 0.8929

a0 = 34.2 - 0.892927.5 = 10.3143

Therefore, the equation of the line of best fit is:

y = 10.3143 + 0.8929x

To check these results using Matlab, we can use the following code:

x = [5 10 15 20 25 30 35 40 45 50];

y = [17 24 31 33 37 37 40 40 42 41];

mdl = fitlm(x,y)

The output should show the intercept and slope values, which match our calculated values. We can also plot the data and the line of best fit using the following code:

plot(x,y,'o')

hold on

xfit = 5:50;

yfit = 10.3143 + 0.8929*xfit;

plot(xfit,yfit,'-')

(b) Fitting a power equation using least-squares regression:

A power equation has the form y = ax^b, where a and b are constants. To fit a power equation using least-squares regression, we need to transform the equation into a linear form by taking the logarithm of both sides:

log(y) = log(a) + b*log(x)

Let Y = log(y) and X = log(x), then the equation becomes:

Y = log(a) + bX

This is now in the form of a straight line, y = a0 + a1x, where a0 = log(a) and a1 = b. We can use the same formulas as in part (a) to find the slope and intercept of the line of best fit:

a1 = (nΣ(XY) - ΣXΣY) / (nΣX^2 - (ΣX)^2)

a0 = Y - a1x

where X and Y are the means of X and Y respectively.

Substituting the given values, we get:

X = [0.69897 1 1.17609 1.30103 1.39794 1.47712 1.54407 1.60206 1.65321 1.69897]

Y = [2.83321 3.17805 3.43399 3.49651 3.61092 3.61092 3.68888 3.68888 3.73767 3.71357]

n = 10

ΣX = 12.05009

ΣY =

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Plot the points (0, -20) and (10, 5) on a graph, and draw a line connecting them to represent the gross sales function S(x) = -20 + 2.5x.

To draw the graph of the gross sales function S(x) = -20 + 2.5x, we need to plot two points: the S-intercept and another point.

First, let's find the S-intercept. The S-intercept is the value of S when x = 0. Substituting x = 0 into the function, we get:

S(0) = -20 + 2.5(0) = -20

So the S-intercept is -20, which means that when the production facility produces 0 curtains, they will not make any sales.

Now, let's find another point. We can choose any value of x and calculate the corresponding value of S. Let's choose x = 8 (you can choose any other value if you prefer). Substituting x = 8 into the function, we get:

S(8) = -20 + 2.5(8) = 0

So when the production facility produces 8 curtains, their gross sales will be $0. This means that the break-even point is at x = 8, where the revenue from selling the curtains covers the production costs.

To plot the graph, we can use these two points: the S-intercept (-20, 0) and the point (8, 0). The graph should look like this:

```
        |
        |
        |
        |         *
        |      *
        |   *
        |*_______
        0   8    x-axis
              S-axis
```

The x-axis represents the number of curtains produced, and the S-axis represents the gross sales in hundreds of dollars. The graph shows that the gross sales function is a linear function that increases as the number of curtains produced increases. The break-even point is at x = 8, and after that, the production facility starts making a profit.

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SSS, SAS, and ASA are three distinct techniques for figuring out if a triangle is validly formed by three provided side lengths, two sides and an included angle, or two angles and an included side, respectively.

In the SSS technique, three pieces of string are organised into a triangle by first being cut to the lengths of its sides. In the SAS approach, a triangle is made using two sides and an added angle. The angles are measured and drawn on a separate piece of paper, and the two sides are symbolised by two strands of thread.

In the ASA technique, a triangle is made up of one side and two neighbouring angles. On a different piece of paper, a piece of thread is traced to the length of the side. The two sides are stretched until they connect to create a triangle by measuring and drawing the two neighbouring angles. The string pieces will form a triangle if their side lengths and angle measurements match those of the original triangle.

The triangle inequality theorem, which asserts that the total of any two sides of a triangle must be greater than the third side, is not satisfied by the string pieces in any of the three approaches.

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The solution to the system of equations is x = 0 and y = 3, or the ordered pair (0, 3).

To solve this system of equations, we can use the method of elimination. We want to eliminate one of the variables so that we can solve for the other. In this case, we can eliminate x by subtracting the first equation from the second equation, since the coefficients of x are the same and will cancel out:

(2x + 4y) - (2x + 2y) = 12 - 6

Simplifying the left side and right side of the equation, we get:

2y = 6

y = 3

Now that we have solved for y, we can substitute this value back into either equation to solve for x. Using the first equation, we get:

2x + 2(3) = 6

x = 0

Therefore, the solution to the system of equations is x = 0 and y = 3, or the ordered pair (0, 3).

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Answer:

the value is 55

Step-by-step explanation:

Answer:

1/3+(-2/5) and 1/3+2/5

Step-by-step explanation:

According to the USA Today "Snapshot," 3% of Americans surveyed lie frequently. This means that out of a large sample of Americans, 3% of them admit to lying frequently. In your survey of 500 college students, you found that 20 of them lie frequently.

To compute the probability of at least 20 lying frequently in a random sample of 500 college students, assuming the true percentage is 3%, we can use a binomial distribution.
The formula for the probability of x successes in n trials with probability p of success is P(x) = (nCx)(p^x)((1-p)^(n-x)), where nCx represents the number of combinations of n things taken x at a time.

Using this formula, the probability of at least 20 college students lying frequently in a random sample of 500 college students is approximately 0.00002, or 0.002%. This is an extremely low probability, indicating that the results of your survey are unlikely to have occurred by chance alone.

However, this does not necessarily mean that the USA Today "Snapshot" is contradictory. It is possible that the true percentage of Americans who lie frequently is different from the percentage of college students who lie frequently. Additionally, the sample size and composition of your survey may not be representative of the entire population of college students. Therefore, while the results of your survey suggest that the true percentage of college students who lie frequently may be higher than 3%, it does not necessarily contradict the USA Today "Snapshot."
According to a USA Today "Snapshot," 3% of Americans surveyed lie frequently. We need to compute the probability that in a random sample of 500 college students, at least 20 lie frequently, assuming the true percentage is 3%. To do this, we can use the binomial probability formula:

P(x >= 20) = 1 - P(x <= 19)

Here, n = 500 (sample size), p = 0.03 (true percentage), and x represents the number of students who lie frequently.

Step 1:

Calculate the cumulative probability P(x <= 19):
We can use a cumulative binomial probability table or a calculator with a binomial cumulative distribution function (CDF). Using the CDF, we get:

P(x <= 19) = binomcdf(500, 0.03, 19) ≈ 0.964

Step 2:

Calculate the probability P(x >= 20):
P(x >= 20) = 1 - P(x <= 19) = 1 - 0.964 = 0.036

The probability that at least 20 out of 500 college students lie frequently is 0.036 or 3.6%. This result is slightly higher than the USA Today Snapshot's 3% figure.

However, this difference does not necessarily contradict the USA Today Snapshot. The slight discrepancy could be due to various factors, such as sample variation, differences in the population of college students compared to the general American population, or other sampling biases. The probability we calculated (3.6%) is still reasonably close to the 3% figure from the USA Today Snapshot, so it is not a strong contradiction.

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Answer:

  968.45 ft

Step-by-step explanation:

You want the horizontal distance to a ship if the angle of depression to it is 42° from a station 872 feet high.

The tangent relation is ...

  Tan = Opposite/Adjacent

In the model of this problem, the distance adjacent to the angle of depression is the distance to the ship (x). The opposite distance is the height of the observation point, and the angle is the angle of depression:

  tan(42°) = (872 ft)/x

  x = (872 ft)/tan(42°) ≈ 968.45 ft

The horizontal distance to the ship is 968.45 feet.

<95141404393>

To show that f(x) is a linear function whenever x <= c1 and x >= c2, we need to examine the given natural cubic spline model:

y = B0 + B1x + B2(x - c1)+ + B3(x - c2) + ε, where B2 + B3 = 0 and B2c1 + B3c2 = 0.

Let f(x) = B0 + B1x + B2(x - c1)+ + B3(x - c2). We need to consider two cases: x <= c1 and x >= c2.

Case 1: x <= c1
Since x <= c1, (x - c1)+ = 0, and (x - c2)+ = 0.
Therefore, f(x) = B0 + B1x, which is a linear function.

Case 2: x >= c2
Since x >= c2, (x - c2)+ = (x - c2).
As x >= c1, (x - c1)+ = (x - c1).
Now, f(x) = B0 + B1x + B2(x - c1) + B3(x - c2).

Using the given conditions, B2 + B3 = 0 and B2c1 + B3c2 = 0, we can express B3 as B3 = -B2, and substitute it into the second condition:

B2c1 - B2c2 = 0
B2(c1 - c2) = 0

Since c1 ≠ c2, B2 must be 0. Thus, B3 = 0 as well.

So, f(x) = B0 + B1x, which is also a linear function.

In conclusion, f(x) is a linear function whenever x <= c1 and x >= c2.

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