What is the missing value?

Answer:

Y=4x-2

Step-by-step explanation:

You have to try it (x,y) (2,6)

y=4x-2

6=4(2)-2

6=8-2

Answer: 1.5 miles per hour, 1 hour per 1.5 miles

Answer:

parallel

perpendicular

parallel

neither

perpendicular

Step-by-step explanation:

Answer:

Step-by-step explanation:

distance = velocity x time

where velocity = 90.7 km/h

            time = 4 hours

plugin values into the formula:

distance = 90.7 km/h x 4 hours

               = 362.8 km

Answer:

3x-y=48

Step-by-step explanation:

3x-y=64-5-11

3x-y=64-16

3x-y=48

The correct risk-return graph is option (A).This graph shows that for a negative correlation coefficient, an investor can reduce their risk without sacrificing return by investing in a portfolio that combines two negatively correlated assets. This is because when the assets have negative correlation, they are less likely to move in the same direction at the same time, resulting in a reduced overall portfolio risk.

The expected returns and standard deviations for two assets are as follows:E(R1) = 0.18 E(σ1) = 0.09 w1 = 0.7E(R2) = 0.24 E(σ2) = 0.17 w2 = 0.3Mean of two portfolios:There are two portfolios with a correlation coefficient r1,2, which is given as follows:r1,2 = 0.30Thus, the mean of the two portfolios is calculated as follows:Mean of portfolio 1: (w1 × E(R1)) + (w2 × E(R2))= (0.7 × 0.18) + (0.3 × 0.24)≈ 0.198Mean of portfolio 2: (w1 × E(R1)) + (w2 × E(R2))= (0.7 × 0.18) + (0.3 × 0.24)≈ 0.198Standard deviation of two portfolios if r1,2 = 0.30:The formula to calculate the standard deviation of two portfolios is given as follows:σp = √[w12 × σ1^2 + w22 × σ2^2 + 2w1w2σ1σ2r1,2]σ1 = 0.09σ2 = 0.17r1,2 = 0.30w1 = 0.7w2 = 0.3Thus, the standard deviation of two portfolios if r1,2 = 0.30 is calculated as follows:σp = √[(0.7)2 × (0.09)2 + (0.3)2 × (0.17)2 + 2 × (0.7) × (0.3) × (0.09) × (0.17) × (0.30)]≈ 0.11469 (rounded to 5 decimal places)Standard deviation of two portfolios if r1,2 = -0.45:Thus, the standard deviation of two portfolios if r1,2 = -0.45 is calculated as follows:r1,2 = -0.45σp = √[(0.7)2 × (0.09)2 + (0.3)2 × (0.17)2 + 2 × (0.7) × (0.3) × (0.09) × (0.17) × (-0.45)]≈ 0.08223 (rounded to 5 decimal places)The correct risk-return graph is option (A).

This graph shows that for a negative correlation coefficient, an investor can reduce their risk without sacrificing return by investing in a portfolio that combines two negatively correlated assets. This is because when the assets have negative correlation, they are less likely to move in the same direction at the same time, resulting in a reduced overall portfolio risk.

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The amount of interest expense for DHS Corp can be calculated by subtracting the net income, depreciation and amortization expense, and the tax expense from the EBITDA. The correct answer is $1,168,615.

To find the amount of interest expense, we can use the following formula:

Interest Expense = EBITDA - Depreciation and Amortization Expense - Tax Expense

Given that the EBITDA is $5,174,366 and the depreciation and amortization expense is $1,241,790, we need to calculate the tax expense. The net income is provided as $1,824.21, which is subject to a 34 percent tax rate.

Tax Expense = Net Income * Tax Rate

Tax Expense = $1,824.21 * 0.34 = $620.76 (approximately)

Now, we can calculate the interest expense:

Interest Expense = $5,174,366 - $1,241,790 - $620.76

Interest Expense = $3,311,955.24

Therefore, the amount of interest expense for DHS Corp is approximately $3,311,955.24

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Answer:

424.34

Step-by-step explanation:

i took the quiz and got 424.34 correct.

Answer:

The answer would be $424.36

Step-by-step explanation:

The formula for compound interest is A=P(1+r)^t

A=amount

P=principle

R= interest rate

T= term

Hope this helped

a)The probability  that a word produced by M4 is a byte is  1/4. b)  the probability is 5/8 c) The probability it came from M2 is 1.

(a)To calculate the probability that a word produced by M4 is a byte, we need to determine the number of valid byte words and divide it by the total number of possible words in M4.

The valid byte words consist of two characters, either 0 or 1, and the remaining six characters can be any of the four options (0, 1, 2, or 3). Therefore, the number of valid byte words is 2^2 * 4^6.

The total number of possible words in M4 is 4^8 since each character can be one of the four options (0, 1, 2, or 3).

Thus, the probability p that a word produced by M4 is a byte is:

p = (2^2 * 4^6) / 4^8 = 2^2 / 4^2 = 1/4

(b) If a word is equally likely to be drawn from either source, we need to calculate the overall probability of drawing a byte word.

The probability of drawing a byte word from M2 is 1, as all words produced by M2 are bytes.

The probability of drawing a byte word from M4 is p, which we calculated in part (a) as 1/4.

Since the word can be drawn from either source with equal probability, the overall probability of drawing a byte word is:

(1/2) * 1 + (1/2) * (1/4) = 5/8

(c) Given that the word is a byte, we need to find the probability that it came from M2.

The probability that a byte word came from M2 is 1, as all words produced by M2 are bytes.

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Answer:

5+4+9.05+11=9+9.05+11=18.05+11=29.05

Answer:

Slope (m) = -1/2

Step-by-step explanation:

y = mx + b

5x – 10y = 30

-5x             -5x

-10y = -5x + 30

y = -5x/ 10 + 30/10

y = -1/2x + 3

Answer:

Step-by-step explanation:

The sum of the three angles is 180°.

  (2x) +(x+y) +(52-2y) = 180

  3x -y = 128 . . . . write in standard form

The congruent angles have equal measure.

  2x = 52 -2y

  x + y = 26 . . . . write in standard form

__

Adding these two standard-form equations, we get ...

  (3x -y) +(x +y) = (128) +(26)

  4x = 154

  x = 38.5

  x + y = 26

  y = 26 -38.5 = -12.5

The values of interest are ...

The categories being mutually exclusive and independent observations. Violation of these assumptions may affect the validity of the test results.

To run a chi-square goodness-of-fit test with only one variable available, you can compare the observed frequencies of different categories with the expected frequencies under a specified distribution or hypothesis.

Here are the steps to conduct a chi-square goodness-of-fit test with one variable:

1. Define your null hypothesis (H₀) and alternative hypothesis (H₁). The null hypothesis typically states that the observed data follows a specific distribution or expected frequencies.

2. Determine the expected frequencies for each category under the null hypothesis. If you have a specific distribution in mind, such as a uniform distribution or a normal distribution, you can use the expected frequencies based on that distribution. If not, you can use the proportion of each category in the sample as the expected frequency.

3. Collect your observed data. This should consist of the frequencies or counts for each category in your single variable.

4. Calculate the chi-square test statistic. The chi-square test statistic measures the discrepancy between the observed and expected frequencies. It is calculated using the formula:

  χ² = Σ((O - E)² / E)

  where O is the observed frequency and E is the expected frequency for each category.

5. Determine the degrees of freedom (df) for the test. For a chi-square goodness-of-fit test with one variable, the degrees of freedom is equal to the number of categories minus 1.

6. Look up the critical value from the chi-square distribution table using the significance level (α) and the degrees of freedom. This critical value determines the threshold for rejecting the null hypothesis.

7. Compare the calculated chi-square test statistic with the critical value. If the calculated chi-square test statistic is greater than the critical value, you reject the null hypothesis. If it is less than or equal to the critical value, you fail to reject the null hypothesis.

8. Calculate the p-value associated with the chi-square test statistic. The p-value represents the probability of obtaining the observed data or more extreme results, assuming the null hypothesis is true. You can use a chi-square distribution table or statistical software to calculate the p-value.

9. Make a decision based on the p-value. If the p-value is less than the chosen significance level (α), typically 0.05, you reject the null hypothesis. If the p-value is greater than or equal to α, you fail to reject the null hypothesis.

Remember that the chi-square goodness-of-fit test assumes certain assumptions, such as the categories being mutually exclusive and independent observations. Violation of these assumptions may affect the validity of the test results.

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Answer:

ask google they know all the answers

Answer:

-2/3

Step-by-step explanation:

To be honest, this isn't hard. Now, stay calm. You know how to calculate slope, right? rise/run. Use the origin! Find another point, and determine the rise and run. draw the lines by just connecting the points in a triangle.

Hope this helps!

Answer:

y intercept= (0, 8)

Step-by-step explanation:

x       y

-3     10

-2     4

-3/4 41/4

0     8

1     -2

Let's consider a hypothetical scenario where an organization is studying the factors influencing employee productivity. One potential dummy variable that could be included in the regression analysis is "training attendance," which takes the value of 1 if an employee attended a specific training program and 0 otherwise.

The rationale behind including this dummy variable is that attending the training program might enhance employees' skills and knowledge, leading to improved work performance. In terms of nonlinear variables, "work experience" could be considered. Rather than treating work experience as a linear variable, it could be categorized into different groups such as "entry-level," "intermediate," and "senior." This nonlinear representation accounts for the potential non-linear relationship between work experience and performance. For instance, employees with entry-level experience might have a steep learning curve and exhibit rapid performance improvement, while those in the senior category might have plateaued in their performance due to reaching their maximum potential. Including such dummy or nonlinear variables allows for a more nuanced analysis of their impact on work performance and helps capture the complexities that may exist in real-world scenarios.

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Answer:

6 large frames and 16 small frames.

Step-by-step explanation:

Make a system of equations, where l is the number of large frames and s is the number of small frames:

l + s = 22

19l + 7s = 226

Solve by elimination by multiplying the top equation by -7:

-7l - 7s = -154

19l + 7s = 226

12l = 72

l = 6

Plug 6 in as l into the first equation, and solve for s:

l + s = 22

6 + s = 22

s = 16

So, she bought 6 large frames and 16 small frames.

The number of each type of large frames and small frames bought is 6 and 16 respectively.

Given:

cost of large frames = $19

cost of small frames = $7

Total cost = $226

let

large frames = x

small frames = y

x + y = 22 (1)

19x + 7y = 226 (2)

multiply (1) by 7

7x + 7y = 154 (3)

19x + 7y = 226 (2)

subtract (3) from (2)

19x - 7x = 226 - 154

12x = 72

x =72/12

x = 6

substitute x = 6 into (1)

x + y = 22 (1)

6 + y = 22

y = 22 - 6

y = 16

Therefore, number of each type of large frames and small frames bought is 6 and 16 respectively.

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Answer:

the ans is 108

Step-by-step explanation:

let the three consecutive no. be 'x'

by question:

x+x+x=324

or,3x=324

or,x =324÷3

or, x=108

checking this answer

108+108+108

=324

The set of the whole numbers is the set of all the positive integers and the zero. So we can write it as:

{0, 1, 2, 3, 4, ...}

We will see that:

if k is a whole number, then there are k whole numbers that are smaller than k.

Let's see how we got that:

Now, we know that k is a whole number, then just let's assign different whole numbers to k and count how many whole numbers are smaller than k.

if k = 1

We have 1 whole number smaller than k, that is the zero.

if k = 2

We have 2 whole numbers smaller than k, the zero and the 1.

if k = 3

we have 3 whole numbers smaller than k, {0, 1, 2}

We already can see the pattern.

if k is a whole number, then there are k whole numbers that are smaller than k.

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Answer:

1. 415 Jelly beans

2. $1,235

3. 93 Love letters

4. 351 Freckles

5. 58 Hard problems

Step-by-step explanation:

1. Add 121+294=415

2. Add 516+619=$1,135

3. Add 35 +58=93

4. Add 263+88=351

5. Subtract 75-17=58

Answer: The smallest number to be divided by 768 is 768. The number obtained will be one and the square root of 1 is 1.

Step-by-step explanation:

We need to find a number that when being divided by 768 we will get a perfect square number. First list the perfect square numbers ,which starts from 1,4,9,16,25,36,49,64.....  

In these perfect squares  the least of them is 1, meaning that we  need to find a number that when divided  by 768 we will get 1. We know that when a number is divided by the same number we get 1. Meaning that the smallest number to be divided by 768 to get 1  is 768 itself.  

The number obtained is 1 .

The square root of one is 1.

Answer:

-81

Step-by-step explanation:

-312+192+39

-120+39

=-81

The answer is c. YZ.

The transitive property of equality states that if a is equal to b and b is equal to c, then a is equal to c.

In this case, we are given that tx = xy and xy = yz.

tx = xy can be rewritten as t = x/y.

xy = yz can be rewritten as y = z/x.

Substituting  y = z/x into t = x/y, we get t = z/x^2.

Therefore, tx = YZ.

The other options are incorrect.

Option a. TX is not equal to YZ.

Option b. XY is equal to YZ.

Option d. TZ is not equal to YZ.

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Answer:

Arithmetic sequence:  [tex]a_{n}=a_{1}+(n-1)d[/tex]

Geometric sequence: [tex]a_{n}=a_{1}(r)^{n-1}[/tex]

Step-by-step explanation:

The arithmetic sequence: is the sequence whos terms increased or decreased by a constant amount.

Examples:

The explicit formula for the nth term of the arithmetic sequence is:

The geometric sequence: is the sequence whos consecutive terms have a constant ratio

Examples:

The explicit formula for the nth term of the geometric sequence is:

* Arithmetic sequence          →→→→→→   Geometric sequence

 Has a constant difference    →→→→→→    Has a constant ratio

 [tex]a_{n}=a_{1}+(n-1)d[/tex]                  →→→→→→    [tex]a_{n}=a_{1}(r)^{n-1}[/tex]

 [tex]d=a_{n}-a_{n-1}[/tex]                          →→→→→→    [tex]r=\frac{a_{n}}{a_{n-1} }[/tex]

Answer:

A1=1-1=0

Step-by-step explanation:

it would help you to understand

i think 64

Step-by-step explanation:

i think so 64 hmmm ok

Answer:

−2⋅(2x−3)⋅(x+1)

Step-by-step explanation: