ILL MARK THE BRAINLIEST, PLEASE HELP WITH THIS MATH QUESTION (HIGH SCHOOL)

The total revenue that will be maximized is 20 - 2a

From the question, we have the following parameters that can be used in our computation:

Qd = 20 - P

The revenue equation is calculated using

Revenue = Quantity * Price

So, we have

R = Qd * P

This gives

R = (20 - P) * P

Expand

R = 20P - P²

Differentiate

R' = 20 - 2P

Next, we have

Q = a

So, we have

R = 20 - 2a

Hence, the total revenue that will be maximized is 20 - 2a

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The reading at finished grade would be 1.5 feet.

To determine the reading at finished grade, you need to subtract the difference in elevation between the benchmark and finished grade from the initial site reading at the benchmark. In this case, the benchmark is at an elevation of 100 feet and the finish grade is set at 97 feet, which means there is a difference of 3 feet in elevation.

Given that the site reading at the benchmark is 4.5 feet, you need to subtract the 3 feet difference in elevation.

Therefore, your reading at finished grade would be 4.5 feet - 3 feet = 1.5 feet.

In conclusion, the reading at finished grade would be 1.5 feet.

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Answer:

number 1

1       1000 grams

2      2000 grams

5        5000 grams

8         8000 grams

10          10000 grams

Step-by-step explanation:

now 2

1 grams    1000

3 grams      3000

4 grams       4000

6 grams       6000

9 grams       9000

that is all i know please mark me the brainiest

(a) Forecast: Linear regression  the next year is approx 191.6007.

(b) MSE: Mean Squared Error is approximately 249.1585.

(c) MAPE: Mean Absolute Percent Error is approximately 10.42%.

(a) (a) Forecast using linear regression:
To forecast the number of disk drives for the next year, we can use linear regression to fit a line to the given data points. The linear regression equation is of the form y = mx + b, where y represents the number of disk drives and x represents the year.

Calculating the slope (m):
m = (Σ(xy) - n(Σx)(Σy)) / (Σ(x^2) - n(Σx)^2)

Σ(xy) = (1)(140) + (2)(160) + (3)(190) + (4)(200) + (5)(210) = 2820
Σ(x) = 1 + 2 + 3 + 4 + 5 = 15
Σ(y) = 140 + 160 + 190 + 200 + 210 = 900
Σ(x^2) = (1^2) + (2^2) + (3^2) + (4^2) + (5^2) = 55

m = (2820 - 5(15)(900)) / (55 - 5(15)^2)
m = (2820 - 6750) / (55 - 1125)
m = -3930 / -1070
m ≈ 3.6729

Calculating the y-intercept (b):
b = (Σy - m(Σx)) / n
b = (900 - 3.6729(15)) / 5
b = (900 - 55.0935) / 5
b ≈ 168.1813

Using the equation y = 3.6729x + 168.1813, where x represents the year, we can predict the number of disk drives for the next year. To do so, we substitute the value of x as the next year in the equation. Let's assume the next year is represented by x = 6:

y = 3.6729(6) + 168.1813
y ≈ 191.6007

Therefore, according to the linear regression model, the predicted number of disk drives for the next year is approximately 191.6007.

(b) Calculation of Mean Squared Error (MSE):

To calculate the Mean Squared Error (MSE), we need to compare the predicted values obtained from linear regression with the actual values given in the data.

First, we calculate the predicted values using the linear regression equation: y = 3.6729x + 168.1813, where x represents the year.

Predicted values:

Year 1: y = 3.6729(1) + 168.1813 = 171.8542
Year 2: y = 3.6729(2) + 168.1813 = 175.5271
Year 3: y = 3.6729(3) + 168.1813 = 179.2000
Year 4: y = 3.6729(4) + 168.1813 = 182.8729
Year 5: y = 3.6729(5) + 168.1813 = 186.5458
Next, we calculate the squared difference between the predicted and actual values, and then take the average:

MSE = (Σ(y - ŷ)^2) / n

MSE = ((140 - 171.8542)^2 + (160 - 175.5271)^2 + (190 - 179.2000)^2 + (200 - 182.8729)^2 + (210 - 186.5458)^2) / 5

MSE ≈ 249.1585

The Mean Squared Error (MSE) for the linear regression model is approximately 249.1585.

This value represents the average squared difference between the predicted values and the actual values, providing a measure of the accuracy of the model.

(c) Calculation of Mean Absolute Percent Error (MAPE):

To calculate the Mean Absolute Percent Error (MAPE), we need to compare the predicted values obtained from linear regression with the actual values given in the data.

First, we calculate the predicted values using the linear regression equation: y = 3.6729x + 168.1813, where x represents the year.

Predicted values:

Year 1: y = 3.6729(1) + 168.1813 ≈ 171.8542
Year 2: y = 3.6729(2) + 168.1813 ≈ 175.5271
Year 3: y = 3.6729(3) + 168.1813 ≈ 179.2000
Year 4: y = 3.6729(4) + 168.1813 ≈ 182.8729
Year 5: y = 3.6729(5) + 168.1813 ≈ 186.5458

Next, we calculate the absolute percent error for each year, which is the absolute difference between the predicted and actual values divided by the actual value, multiplied by 100:

Absolute Percent Error (APE):

Year 1: |(140 - 171.8542) / 140| * 100 ≈ 18.467
Year 2: |(160 - 175.5271) / 160| * 100 ≈ 9.704
Year 3: |(190 - 179.2000) / 190| * 100 ≈ 5.684
Year 4: |(200 - 182.8729) / 200| * 100 ≈ 8.563
Year 5: |(210 - 186.5458) / 210| * 100 ≈ 11.682
Finally, we calculate the average of the absolute percent errors:

MAPE = (APE₁ + APE₂ + APE₃ + APE₄ + APE₅) / n

MAPE ≈ (18.467 + 9.704 + 5.684 + 8.563 + 11.682) / 5 ≈ 10.42

The Mean Absolute Percent Error (MAPE) for the linear regression model is approximately 10.42%.

This value represents the average percentage difference between the predicted values and the actual values, providing a measure of the relative accuracy of the model.

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Answer:

a d

Step-by-step explanation:

maybe

Answer:

k = - 8

Step-by-step explanation:

given that (x - a) is a factor of f(x) , then f(a) = 0

given

(x - 1) is a factor of f(x) then f(1) = 0 , that is

3(1)³ + 5(1) + k = 0

3(1) + 5 + k = 0

3 + 5 + k = 0

8 + k = 0 ( subtract 8 from both sides )

k = - 8

If the area of the triangle is 120 cm^2, the value of x is equal to 6.

Mathematically, the area of a triangle can be calculated by using this mathematical expression:

Area of a triangle (A) = 1/2 × b × h

Where:

According to Hero's Formula area of triangle by Heron of Alexandria, if a, b, c are the side lengths of a triangle, then, the area of a triangle can be calculated by using this mathematical expression:

Area of a triangle (A) = √[s(s − a)(s − b)(s − c)]

Where:

s = (a + b + c)/2

s = (x + x + 1 + 2x - 1)/2

s = 4x/2

s = 2x

Substituting the parameters into Hero's Formula formula, we have the following;

x√10 = √[2x(2x − x)(2x − x - 1)(2x − 2x + 1)]

x√10 = x√2(x − 1)

√10 = √2(x − 1)

Taking the square of both sides, we have:

10 = 2(x - 1)

10 = 2x - 2

2x = 12

x = 12/2

x = 6.

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The Bonferroni method is a multiple comparison procedure used to control the family-wise error rate when comparing multiple treatments at a given level of alpha.

The Bonferroni method adjusts the alpha level for each individual comparison to maintain an overall family-wise error rate of alpha.To use the Bonferroni method, the researcher first chooses the desired level of family-wise error rate (e.g., 0.05).

Next, the researcher divides this alpha level by the total number of comparisons to obtain the adjusted alpha level for each individual comparison (e.g., 0.05/3 = 0.0167 for three comparisons).

The researcher then conducts the individual comparisons at the adjusted alpha level, using appropriate statistical tests (e.g., t-tests, ANOVA).If the p-value for a given comparison is less than the adjusted alpha level, the researcher can conclude that the difference between those treatments is statistically significant.

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Answer:

D. (1,3) and (3,7)

Step-by-step explanation:

The graphs of y = 2x + 1 and y = -(x-1)^2 + 3 intersect at the points where they have the same y-coordinate. To find these points, we can set the two equations equal to each other and solve for x.

y = 2x + 1 = -(x-1)^2 + 3

2x + 1 = -x^2 + 2x + 2

x^2 - 4x + 1 = 0

(x-1)^2 = 0

x = 1

Now we can substitute this value of x into either of the given equations to find the corresponding y-coordinate.

y = 2x + 1 = 2(1) + 1 = 3

so the point of intersection is (1,3)

So the answer is D. (1,3) and (3,7)

Please note that the solution is valid only if the two equations y=2x+1 and y=-(x-1)^2+3 are defined for the same domain.

Step-by-step explanation:

y = 200  - 3 *x  has slope = -3   this is downward sloping from L to R

Answer:downward sloping

Step-by-step explanation:

negative slope

A quotient is any number before a specified variable in a given equation.

i. The division equation required is \(\frac{3}{4}\)x

ii. The quotient is \(\frac{3}{4}\) (0.75)

Fraction is a mathematical expression which consists of a numerator and denominator. Some types are proper fraction, improper fraction and mixed fraction.

In any given algebraic equation, the number that exists before a stated alphabet is termed quotient.

For example, given: 4x + 1

Thus the quotient of x is 4.

Considering the given question, let the tomato sauce be represented by x.

So that 6 quarts of tomato sauce was divided into 8 jars equally. This implies that;

6x ÷ 8 = \(\frac{6}{8}\)x

          = \(\frac{3}{4}\)x

Thus,

i. the division equation that can be used to model the situation = \(\frac{3}{4}\)x

ii. the quotient = \(\frac{3}{4}\)

                         = 0.75

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Answer:

7.5

Step-by-step explanation:

the answer to your question is 7.5

Answer:

the slope is 21/11 and the y-intercept is (0,1)

Answer:

i like both of them

Step-by-step explanation:

Answer:

k = - 6 , c = 8

Step-by-step explanation:

f(x) = x² + kx + c

given f(2) = 0 , substitute (2, 0 ) into f(x)

0 = 2² + 2k + c

0 = 4 + 2k + c ( subtract 4 from both sides )

- 4 = 2k + c → (1)

given f(- 3) = 35 , substitute (- 3, 35 ) into f(x)

35 = (- 3)² - 3k + c

35 = 9 - 3k + c ( subtract 9 from both sides )

26 = - 3k + c → (2)

subtract (2) from (1) term by term to eliminate c

- 4 - 26 = 2k - (- 3k) + (c - c)

- 30 = 2k + 3k

- 30 = 5k ( divide both sides by 5 )

- 6 = k

substitute k = - 6 into (1) and solve for c

- 4 = 2(- 6) + c

- 4 = - 12 + c ( add 12 to both sides )

8 = c

then

k = - 6 and c = 8

Answer:

D

Step-by-step explanation:

In a function no X's can repeat which is what the vertical line test is. And in this case no X's repeat therefore, making it a function.

Answer:

D

Step-by-step explanation:

parabolas are functions

the graphed is a parabola

it passes the vertical line test.

(b) No, The branch manager's argument that dispatching buses every 0.5 minutes will reduce the average traveling time (a round trip) to 3.5 minutes is not correct.

To calculate the average time, we need to consider the time it takes for the bus to travel to the airport and back, as well as the time spent waiting for the bus.

If buses are dispatched every 3 minutes, and the average traveling time (a round trip) is 21 minutes, it means that passengers spend 18 minutes waiting for the bus (21 minutes - 3 minutes of traveling time).

If buses are dispatched every 0.5 minutes, the waiting time will be significantly reduced. However, the traveling time remains the same at 21 minutes for a round trip.

Therefore, the average traveling time will not be reduced to 3.5 minutes but will remain at 21 minutes (assuming the traveling time remains constant).

(c) The average traveling time, following the branch manager's suggestion of dispatching buses every 0.5 minutes, would still be 21 minutes.

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Complete question:

The Avis Company is a car rental company and is located three miles from the Los Angeles airport (LAX). Avis is dispatching a bus from its offices to the airport every 3 minutes. The average traveling time (a round trip) is 21 minutes.

(a) The branch manager wants to improve the service and suggests dispatching buses every 0.5 minute. She argues that this will reduce the average traveling time (a round trip) to 3.5 minutes. Is she correct? (Enter "Yes" or "No" in the following blank).

c. Following the branch manager's suggestion (dispatch busses every 0.5 min), what will the average traveling time be? average travelling time ____(mins) (enter the numbers only)

x + 21 + 3x + 9 = 90

Combine like terms

4x + 30 = 90

Subtract 30 from both sides

4x = 60

Divide both sides by 4

x = 15

Answer:

x = 15

Step-by-step explanation:

You can use the opposite angles property to solve this problem. By using the property, the opposite angle of x+21 must also be x+21. So therefore, you can setup the equation x+21+3x+9=90. Simplify and you should get 4x+30=90. Subtract 30 on both sides and you get 4x=60. Divide 4 on both sides and you get x=15.

The z value for  a 97.8% confidence interval estimation is determined as 2.29.

The z value for  a 97.8% confidence interval estimation is calculated as follows;

The find the Z score, go to a Z lookup table which is found in a textbook or on an internet source. z table is created to give the possibility in a one-tailed analysis.

A confidence interval is a two-tailed examination,  in order to prepare the z score for 97.8%, look up the probability of 98.9%.

The value of 98.9% is

= (0.978 + 1 )/ 2

= 0.989 or 98.9%.

This implies that the z score of the date is 2.29.

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As per the BMI, the dependent variable is outcome

In this study, the researcher wants to compare the effectiveness of two different exercise programs in reducing BMI in individuals with diabetes. The participants will be randomly assigned to either the aerobic dancing group or the walking group, and their BMI will be measured before and after the six-month exercise program.

The changes in BMI between the two groups will be compared to determine which exercise program is more effective in reducing BMI in this population. The dependent variable in this study is the change in BMI, as it is the outcome that is being measured and compared between the two groups.

Overall, this study will provide valuable insights into the effectiveness of different exercise programs in reducing BMI in older adults with diabetes, which can have important implications for their overall health and wellbeing.

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Answer:

I am not sure if this is correct but:

Step-by-step explanation:

Most correlational studies use d)relative data, which compares two variables.

This means that one variable is being measured against another, often in the form of ratios or percentages. For example, one might compare the number of people who smoke cigarettes with the number of people who develop lung cancer, in order to determine whether there is a correlation between the two.

Relative data allows researchers to examine the relationship between variables, allowing them to assess the strength of the relationship between them.

In order to compare variables, correlational studies rely on either primary or secondary data. Primary data is collected through direct observation and experimentation, while secondary data is obtained from existing sources.

In most cases, correlational studies use secondary data, such as survey results or statistics from public databases. This data is often in the form of relative data, such as percentages or ratios.

By using relative data, correlational studies can determine the strength of the relationship between two variables. This information can be used to better understand how the variables are related, as well as to draw conclusions about their relationship. For example, the relationship between smoking and lung cancer can be examined using relative data, allowing researchers to identify patterns and draw conclusions about the correlation between the two variables.

Hence Option D is correct.

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Answer:

The number is 22

Step-by-step explanation:

Let x be the number

Answer:

22

Step-by-step explanation:

Let the number be x:

x - 10 = 12

x = 12 + 10

x = 22

The answer is 22

Answer:

0.67

Step-by-step explanation:

2/3= to 0.66 which means 0.67 would be technally larger than 0.66

There are 45 ways to combine one level from each of the growth factors.

To find the total number of ways to combine one level from each of the growth factors, we need to multiply the number of levels for each growth factor.

For lighting, there are three levels: low, medium, and high.

For age, there are five levels: 1 month, 2 months, 3 months, 4 months, and 5 months.

For temperature, there are three levels: 20 °C, 22 °C, and 24 °C.

To find the total number of ways to combine one level from each growth factor, we multiply the number of levels for each growth factor:

3 (for lighting) x 5 (for age) x 3 (for temperature) = 45

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Answer:

25/2 or 12 1/2 or 12.5

Step-by-step explanation:

Answer:

Charge 26, 78, 130, 182, 234

Step-by-step explanation:

If Heads is (1,3,5,7,9) CHARGE and charge is (26,0,0,0,0) if 1 head=26 then you can just multiply or use repetitive addition if you were to multiply do 3x26=78, 5x26=130, 7x26=182, and 9x26=324. If you were to use repetitive addition do 26+26+26=78, 26+26+26+26+26=130, 26+26+26+26+26+26+26=182, and 26+26+26+26+26+26+26+26+26=234.

I hope it helps!

~XxBells is a cute girlxX~

Answer:

the slope is m=6 and the y -intecept is b=3 or (0,3)

Answer and explanation:

First more than half of the population of the United States do not smoke so the data for smokers in the United States cannot be normally distributed.

Cigs variable does not have a normal distribution in the United States because it is skewed while a Gaussian/normally distributed data is symmetric about it's mean meaning that more values close to the mean occur more frequently. A normally distributed data has more data in the center and is bell shaped while a non normal distribution like the smokers data for US has data skewed to the left or right