what is 20% decreased of 1.75

Answer:

x + y + z = 360

Answer:

x + y + z = 360°

Step-by-step explanation:

I presume that the attached image is what you are trying to achieve.

x + y + z = 360°

The calculated measure of angle y is 60 degrees

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

The figure

From the figure, we can see that

The shape can be divided into two triangles such that

Each triangle is an equilateral triangle

The measure of an angle in an equilateral triangle is 60 degrees

using the above as a guide, we have the following:

y = 60

Hence, the value of y is 60 degrees

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Answer: she made $8.40

Step-by-step explanation: divide 42 by 5 to get your answer

Answer:

A - $8.40

Step-by-step explanation:

You would have to do 45÷5

Answer:

8

Step-by-step explanation:

edge 2020

Answer:

7

Step-by-step explanation:

degree of F + degree of G +degree of H

=1+2+4

=7

Answer:

Area = ab

Step-by-step explanation:

Area is length × width, so fill in a for the length and b for the width. Multiply a and b together.

A = a×b

A = ab

Answer:

Step-by-step explanation:

Your first two answers are incorrect. Radius = 5 km

Height = 12 km

volume of cone = πr²h/3 = π5²⋅12 = 300π km³

300π ≈ 942 km³

Given that the production function of a firm is f(x1, x2) = x1^(1/3) * x2^(2/3), where price of x1 = 1 and price of x2 = 2. Let's derive the conditional demand for x1 and cost function c(y).

Conditional demand for x1 can be derived as:

∂f(x1, x2)/ ∂x1 = (∂/∂x1) (x1^(1/3) * x2^(2/3))= (1/3) * x1^(-2/3) * x2^(2/3)

Now, put the value of x2 = (y/ x1^(1/3))^3 in the above equation.

∂f(x1, x2)/ ∂x1 = (1/3) * x1^(-2/3) * (y/ x1^(1/3))^2 = (1/3) * y^2 * x1^(-4/3)

Since price of x1 = 1, the cost function can be written as c(y) = w1 * x1 + w2 * x2 = x1 + 2x2 = x1 + 4(y/ x1^(1/3))

The cost function of the firm is

c(y) = x1 + 4y^(1/3) * x1^(-1/3) = x1 + 4y^(1/3)/x1^(1/3)

In order to maximize the profit, we need to differentiate the cost function with respect to x1 and equate it to zero.

(c(y))/d(x1) = 1 - 4/3 * y^(1/3) * x1^(-4/3) = 0

x1 = (3/4) * y^(1/3)

On substituting the value of x1 in the cost function, we get:  

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Answer:

1. C

2.A

3.A

Step-by-step explanation:

Answer:

$2,753.79

Step-by-step explanation:

Compound Interest Formula

\(\large \text{$ \sf A=P\left(1+\frac{r}{n}\right)^{nt} $}\)

where:

Given:

Substitute the given values into the formula and solve for A:

\(\implies \sf A=2000\left(1+\frac{0.0325}{1}\right)^{(1 \times 10)}\)

\(\implies \sf A=2000(1.0325)^{10}\)

\(\implies \sf A=2753.788608...\)

Therefore, the value of the investment after 10 years will be $2,753.79 to the nearest cent.

Answer:

Rise/run is m which practically means the slope :)

Answer

linear

nonproportional

Step-by-step explanation:

Since for each equal change in time (1 week), there is an equal change in weight (5 lb), the situation is linear.

At time zero, the first week, the weight was not zero. It was 60 lb, so it is not proportional.

Answer:

linear

nonproportional

1. the estimated slope (b1) is approximately -8.935

2. the estimated y-intercept is approximately 110.562

3. ŷ = 110.562 - 8.935 * x

4. we cannot definitively determine if all points fall on the same line based on the given information.

5. The value of the dependent variable ŷ at x = 0 is approximately 110.562.

6. The value of the coefficient of determination (R²) is approximately 0.414.

To find the estimated slope and y-intercept, we can use the least squares regression method to fit a line to the given data points.

Step 1 of 6: Find the estimated slope (b₁):

We need to calculate the slope (b₁) using the formula:

b₁ = Σ((xi - \(\bar{x}\))(yi - \(\bar{y}\))) / Σ((xi - \(\bar{x}\))²)

Where:

xi = hours unsupervised

\(\bar{x}\) = mean of hours unsupervised

yi = overall grade average

\(\bar{y}\) = mean of overall grade average

Using the provided data, we can calculate the estimated slope as follows:

xi    | yi

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

0     | 98

0.5   | 94

1.5   | 85

4     | 81

4.5   | 78

5     | 74

6     | 63

First, calculate the means:

\(\bar{x}\) = (0 + 0.5 + 1.5 + 4 + 4.5 + 5 + 6) / 7 = 3.2143 (rounded to 4 decimal places)

\(\bar{y}\) = (98 + 94 + 85 + 81 + 78 + 74 + 63) / 7 = 82.2857 (rounded to 4 decimal places)

Now, calculate the estimated slope (b₁):

b₁ = ((0 - 3.2143)(98 - 82.2857) + (0.5 - 3.2143)(94 - 82.2857) + (1.5 - 3.2143)(85 - 82.2857) + (4 - 3.2143)(81 - 82.2857) + (4.5 - 3.2143)(78 - 82.2857) + (5 - 3.2143)(74 - 82.2857) + (6 - 3.2143)(63 - 82.2857)) / ((0 - 3.2143)² + (0.5 - 3.2143)² + (1.5 - 3.2143)² + (4 - 3.2143)² + (4.5 - 3.2143)² + (5 - 3.2143)² + (6 - 3.2143)²)

After performing the calculations, the estimated slope (b1) is approximately -8.935 (rounded to 3 decimal places).

Step 2 of 6: Find the estimated y-intercept (b₀):

We can use the formula:

b0 = \(\bar{y}\) - b₁ * \(\bar{x}\)

Using the values we calculated in step 1, the estimated y-intercept is approximately 110.562 (rounded to 3 decimal places).

Step 3 of 6: Substitute the values into the equation for the regression line:

The estimated linear model is given by the equation:

ŷ = b₀ + b₁ * x

Substituting the values we found in steps 1 and 2:

ŷ = 110.562 - 8.935 * x

Step 4 of 6: Determine if the statement "All points predicted by the linear model fall on the same line" is true or false.

To determine if the points fall on the same line, we would need to compare the predicted values (ŷ) obtained from the linear model equation with the actual values (yi) of the overall grade average. Since we don't have the actual values for all data points, we cannot definitively determine if all points fall on the same line based on the given information.

Step 5 of 6: Determine the value of the dependent variable ŷ at x = 0:

Substituting x = 0 into the linear model equation:

ŷ = 110.562 - 8.935 * 0

ŷ = 110.562

The value of the dependent variable ŷ at x = 0 is approximately 110.562.

Step 6 of 6: Find the value of the coefficient of determination:

The coefficient of determination (R²) is a measure of how well the regression line fits the data. It represents the proportion of the variance in the dependent variable that can be explained by the independent variable.

To calculate R², we need the sum of squares total (SST), which is the sum of the squared differences between each yi and the mean ȳ, and the sum of squares residual (SSE), which is the sum of the squared differences between each yi and the corresponding predicted ŷ.

The formula for R² is given by:

R² = 1 - (SSE / SST)

Calculating SST:

SST = Σ((yi - \(\bar{y}\))²) = (98 - 82.2857)² + (94 - 82.2857)² + (85 - 82.2857)² + (81 - 82.2857)² + (78 - 82.2857)² + (74 - 82.2857)² + (63 - 82.2857)²

Calculating SSE:

SSE = Σ((yi - ŷ)²) = (98 - (110.562 - 8.935 * 0))² + (94 - (110.562 - 8.935 * 0.5))² + (85 - (110.562 - 8.935 * 1.5))² + (81 - (110.562 - 8.935 * 4))² + (78 - (110.562 - 8.935 * 4.5))² + (74 - (110.562 - 8.935 * 5))² + (63 - (110.562 - 8.935 * 6))²

After performing the calculations, the values are:

SST = 1110.857 (rounded to 3 decimal places)

SSE = 650.901 (rounded to 3 decimal places)

Now, calculate R²:

R² = 1 - (650.901 / 1110.857)

R² ≈ 0.414 (rounded to 3 decimal places)

The value of the coefficient of determination (R²) is approximately 0.414.

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i hope that this helps

goodluck :)

Answer:

W = 10 cm

Step-by-step explanation:

Area of a Triangle and a Rectangle

The area of a triangle of base B and height H is:

\(\displaystyle A_t=\frac{BH}{2}\)

The area of a rectangle of width W and length L is:

\(A_r=WL\)

We are given the base of the triangle B=6 cm and the height H=8 cm, thus the area is:

\(\displaystyle A_t=\frac{6*8}{2}= 24\ cm^2\)

The area of the rectangle is 5 times the area of the triangle, thus:

\(A_r=5*24\ cm^2=120\ cm^2\)

If we know the area of the rectangle and its length, we can find the width by solving for W:

\(\displaystyle W=\frac{A_r}{L}\)

The rectangle has a length of L=12 cm, thus:

\(\displaystyle W=\frac{120}{12}=10\ cm\)

W = 10 cm

No, one does not have to examine all the points in the feasible region as the optimal solution exists at one of the corner points.

It follows from the task content that the point where the optimal solution of a linear optimization problem exists is to be determined.

It is note-worthy to know that a feasible region’s optimal solution must be a corner point of the feasible region and at this point is where the objective function is maximised or minimised the value of the objective function.

Therefore, although all solutions in the feasible regions are valid; However, in a bid to determine the optimal solution, the corner points of the constraints-objective function plot are considered.

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Answer:

65 degrees

Step-by-step explanation:

the angles are corresponding, and corresponding angles always have the same angle measures

If a ∥ b and m∠1 = 65°, The measure of m∠2 will be 65°.

When two lines or rays converge at the same point, the measurement between them is called an "Angle." when a transverse line crosses two straight lines, corresponding angles are formed.

When two lines are crossed by a third line, these angles are generated at equivalent corners or corners corresponding to the transversal.

It is given that,  a ∥ b and m∠1 = 65.

If the transversal meets two parallel lines, the corresponding angles theory asserts that the corresponding angles are congruent. In other words, the angles formed when a transversal crosses two parallel lines will always be equal.

Since corresponding angles always have the same angle measures, the angles are said to be corresponding.

As a result,

m∠1 =m∠2

m∠1 = 65°

m∠2=65°

Thus, if a ∥ b and m∠1 = 65°, The measure of m∠2 will be 65°.

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Answer:

5465 pennies

The explanation is a lot to type and I'm in class just trying to help

The equilibrium constant can be determined using the concentrations of reactants and products at equilibrium. In this case, the initial concentrations of substances A, B, and C are given as [A] = 0.50 M, [B] = 0.75 M, and [C] = 1.2 M, while the equilibrium concentration of C is [C] = 1.0 M.

The equilibrium constant, denoted as K, is defined as the ratio of the product of the concentrations of the products to the product of the concentrations of the reactants, each raised to the power of their stoichiometric coefficients. In this case, the balanced chemical equation is not provided, so we cannot directly calculate the equilibrium constant.

To determine the equilibrium constant, we need the balanced chemical equation representing the reaction. Once the balanced equation is available, we can determine the stoichiometric coefficients and calculate the equilibrium constant using the concentrations at equilibrium. Without the specific reaction, we cannot provide a numerical value for the equilibrium constant.

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Answer:

Mon - Fri: 4 days 4*30 = 120 bars given away. 225 - 120 = 135 bars

Step-by-step explanation:

Based on the given information, if the observed price (p) exceeds the price expected by the producers (pe), then we can infer the following:

Demand exceeds supply: When the observed price is higher than the price expected by the producers, it suggests that there is greater demand for the product than initially anticipated. This could be due to various factors such as increased consumer demand, scarcity of supply, or other market dynamics.

Potential increase in profitability: If the observed price is higher than the expected price, it implies that producers can potentially generate higher profits. This situation may incentivize producers to increase production to meet the higher demand and take advantage of the higher prices.

Market equilibrium may shift: When the observed price surpasses the price expected by the producers, it indicates an imbalance between supply and demand. This could lead to a new market equilibrium where the price adjusts to reflect the increased demand and potentially influence the producers' pricing strategies in the future.

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The probability distribution of all possible values of the sample mean is called the sampling distribution of the mean.

What is meant by the sampling distribution of the mean?

Why is sampling essential and what does it mean?

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Answer:

2090

Step-by-step explanation:

0.06 × 2000 =120 therefore 120 × 24 =2088. and round off to the cent

The Perimeter of Square is 24\(j^5\) + 20j.

A closed path that covers, encircles, or outlines a one-dimensional length or a two-dimensional shape is called a perimeter. A circle's or an ellipse's circumference is referred to as its perimeter.

Given:

Side of Square = 6\(j^5\) + 5j + 0

So, Perimeter of square = 4x side

                                        = 4 x (6\(j^5\) + 5j + 0)

                                        = 24\(j^5\) + 20j

Thus, the Perimeter is 24\(j^5\) + 20j.

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Hey there! I'm happy to help!

When multiplying numbers with exponents, all you do is add the exponent numbers, so 5^12×5^8=5^20.

A is not equal to this.

B is also not equal to this. B is 25^20.

C is  wrong as well. It is 5^5.

This leaves us with D, which does evaluate to 5^20. If you raise a power to a power you multiply the exponent numbers, and 5(4)=20.

The answer is D. (5^5)^4.

Have a wonderful day! :D

5^12 * 5^8

5^12+8

5^20

The only option that is equal to that is D.

(5^5)^4

5^5*4

5^20

Best of Luck!

There are ²⁰С₁₀ × 10!  × 10! ways to divide the class and line up the groups.

Number of students in the class = 20

Selection of group one = ²⁰С₁₀ ways

Selection of group two = 1 way

Number of ways to arrange 10 students in a group = 10!

So, Total number of ways = ²⁰С₁₀ × 10!  × 10! ways.

Hence there are  ²⁰С₁₀  × 10!  × 10! ways to divide the class and line up the groups.

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Answer:

22.50

Step-by-step explanation:

2.50x6=15+7.50=22.50

Answer:

$22.50

Step-by-step explanation:

well we know we have 7.50 in the beginning then we add 2.50 x 6 to make the equation 7.50+ ( 2.50 X 6) which equals 22.50