please help quick its timed

The sequence of natural numbers that leaves a remainder of 3 when divided by 10 is:

3, 13, 23, 33, 43, 53, 63, 73, 83, 93, 103, 113, ...

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The set of points that form a line are called a pattern. This pattern is created by a series of points that share a common direction and form a straight line. It is important to recognize these patterns in order to better understand and analyze data.

A pattern is a repeated sequence or arrangement of something. In geometry, a line is a set of points that extend infinitely in both directions. These points are arranged in such a way that they share a common direction and form a straight line. The set of points that form a line are called a pattern because they follow a specific sequence and arrangement.

Recognizing patterns is important in many fields, including mathematics, science, and engineering. By analyzing patterns, we can better understand the underlying structures and processes that shape the world around us. For example, in data analysis, recognizing patterns can help us identify trends and make predictions about future outcomes.

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The kinetic energy of the roller coaster at the bottom of the hill is approximately 594,576 J.

The potential energy of the roller coaster at the top of the hill can be calculated as:

PE = mgh

where m is the mass of the car and its passengers, g is the acceleration due to gravity \((9.8 m/s^2\)), and h is the height of the hill (62 m). Thus, we have:

PE =\((1088 kg)(9.8 m/s^2)(62 m) = 670,720 J\)

At the bottom of the hill, all of the potential energy has been converted to kinetic energy. The kinetic energy of the roller coaster can be calculated as:

\(KE = (1/2)mv^2\)

where v is the speed of the roller coaster at the bottom of the hill. Thus, we have:

\(KE = (1/2)(1088 kg)(33 m/s)^2 = 594,576 J\)

Therefore, the kinetic energy of the roller coaster at the bottom of the hill is approximately 594,576 J.

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Answer:

Step-by-step explanation:

Equation of the line using point (0, 1) and slope 4/5 is

\(y - 1 = \frac{4}{5} (x - 0) \\ \\ 5y - 5 = 4x \\ \\ 5y - 4x = 5\)

Hope this helps you

Answer:

D. \(\boxed{5y-4x=5}\)

Step-by-step explanation:

Slope = m = 4/5

y - intercept = b = 1 (As from the point (0,1) , y-intercept is when x = 0)

So, the equation becomes

=> \(y = mx+b\)

=> \(y = \frac{4}{5} x +1\)

=> \(y - \frac{4}{5} x = 1\)

Multiplying both sides by 5

=> \(5y-4x = 5\)

Answer:

6=30

5=138

3=152

Step-by-step explanation:

Hope this helps!

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Answer: table C or 3

Step-by-step explanation:

If you graph it on paper then it creates a straight line, where the others do not.

Answer: I think b

Step-by-step explanation: If i get it wrong im terribly sorry plz forgive if it's wrong

D.

It intercepts y at f(0)=6, it has exponential growth, that is, function is continously increasing.

Hope this helps.

The cross product (×) of two vectors a and b is not commutative, which means that a × b is generally not equal to b × a.

Here's an example to demonstrate this:

Let a = [1, 2, 3] and b = [4, 5, 6]. Then,

a × b = [26 - 35, 34 - 16, 15 - 24] = [-3, 6, -3]

b × a = [53 - 62, 61 - 43, 42 - 51] = [3, -6, -3]

As you can see, a × b is not equal to b × a, so the cross product is not commutative, where a and b are two vectors.

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Answer:

C. ( x - 4 ) ( x - 5 )

Step-by-step explanation:

\(x^2-9x+20\)

\(= (x-4)(x-5)\)

The quadrilateral that has four congruent sides is option D. square. A square is a special type of rectangle and rhombus, characterized by having all four sides of equal length.

A parallelogram (option A) is a quadrilateral with opposite sides that are parallel. While the opposite sides of a parallelogram are congruent, it does not guarantee that all four sides are equal.

A rectangle (option B) is a quadrilateral with four right angles. While opposite sides of a rectangle are congruent, it does not necessarily have four congruent sides unless it is also a square.

A rhombus (option C) is a quadrilateral with all sides of equal length. While a rhombus does have four congruent sides, it is not the only quadrilateral with this property.

Therefore, among the given options, the quadrilateral that has four congruent sides is the square (option D).

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Answer:

The answers are 25 37 39 308 I think

Step-by-step explanation:

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Answer:

2 yards.

Step-by-step explanation:

If you do what was stated in the problem, you would be left at -2. So, you would need to move up 2 yards to get back to 0.

Answer:

He must move two yards to get back to zero.

Step-by-step explanation:

He started at 0.

Moved forward 5 on the number line which puts him at 5

Then he moved back 7 which puts him at -2 on the number line

So from -2 on the number line he has to move 2 spaces to the right to get back to 0.

Hope this helps!! And good luck!

The correct point-slope form of the line is A. y + 1 = 2(x - 1).

The point-slope form of a linear equation is given by y - y1 = m(x - x1), where (x1, y1) is a point on the line and m is the slope of the line.

Given that the slope of the line is 2 and the point on the line is (1, -1), we can substitute these values into the point-slope form to find the correct equation.

Using the point-slope form, we have:

y - (-1) = 2(x - 1)

Simplifying the equation, we get:

y + 1 = 2(x - 1)

Now we compare this equation to the answer choices:

A. y + 1 = 2(x - 1)

B. y - 1 = -2(x + 1)

C. y + 1 = -2(x - 1)

D. y - 1 = 2(x + 1)

Comparing the equation y + 1 = 2(x - 1) to the given point-slope form, we see that they match.

In this equation, the point (1, -1) lies on the line, and the slope of the line is 2. The equation represents a line with a slope of 2 that passes through the point (1, -1).

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Answer:

-1/2? i dunno

Step-by-step explanation:

Answer:

\(-1/2\)

Step-by-step explanation:

\(-1/2\) is the answer because \(-1/2\) is the gradient of the line in the slope. 3 is the y inter. Which is where the line goes over the y-axis.

Hope this helps! (^-^)

Answer:

In general, the dividend income on W number of shares of XYZ stock will be W * Y dollars if XYZ distributes a $Y per share dividend.

Step-by-step explanation:

The dividend income on W number of shares of XYZ stock will be W * Y dollars if XYZ distributes a $Y per share dividend. This is because the dividend income is calculated by multiplying the number of shares that an investor owns by the amount of the dividend per share.

For example, if an investor owns W = 100 shares of XYZ stock and XYZ distributes a $Y = 5 per share dividend, then the investor's dividend income will be 100 * 5 = 500 dollars.

In general, the dividend income on W number of shares of XYZ stock will be W * Y dollars if XYZ distributes a $Y per share dividend.

Answer: y = -1/2 +3

Step-by-step explanation:

Answer:

the number is 4

Step-by-step explanation:

let the number be x

2x + 10 = 6(x - 1)

2x + 10 = 6x - 6

minus both sides by 2x

10 = 4x - 6

add both sides by 6

4x = 16

x = 4

The degrees of freedom in testing for differences between the means of two dependent populations where the variance of the differences is unknown are: df = n - 1

In statistics, degrees of freedom refers to the number of distinct values that can change in an evaluation without exceeding any constraints.

The degree of freedom is crucial and necessary when attempting to comprehend the significance of a test statistic and the validity of the null hypothesis.

In testing for differences between the means of two dependent populations where the variance of the differences is unknown, the degrees of freedom are: df = n - 1

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Since Jenny's total sales for the week were only £2,322.00, her bonus is only 0.02 x £2,322.00 = £46.45.

Jenny will receive a bonus of £46.45 this week. She is ranked third in terms of sales, so she does not qualify for the top two positions that receive the bonus.

The bonus is calculated as 0.02 of the total sales made that week, which is £38,121.70 (£902.00 + £1,275.25 + £1,385.20 + £1,637.80 + £1,640.50 + £1,628.95).

The bonus is then divided in a ratio of 4:1 between the salesperson in first and second place, which means the first-place salesperson will receive £726.87 (0.8 x £38,121.70 x 0.04) and the second-place salesperson will receive £181.72 (0.2 x £38,121.70 x 0.04).

Jenny's bonus is calculated by subtracting the bonuses received by the first and second-place salespeople from the total bonus pool and dividing the remaining amount by the number of salespeople who did not receive a bonus.

Since there are four salespeople who did not receive a bonus (including Jenny), the remaining bonus pool is £38,121.70 - £726.87 - £181.72 = £37,213.11.

Dividing this by four gives £9,303.28, which is the bonus amount that each of the remaining salespeople will receive.

However, since Jenny's total sales for the week were only £2,322.00, her bonus is only 0.02 x £2,322.00 = £46.45.

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Answer:

B. 7−10; 11−14; 15−18; 19−22

Step-by-step explanation:

Answer:

B. IS correct

Step-by-step explanation:

Answer:

last one option D

Step-by-step explanation:

To determine how many of each type of page Matt will need to hold all his stamps, we first need to know the total number of stamps that he has. Let's say, for example, that Matt has 750 stamps.

Next, we can use the table to determine how many stamps each type of page can hold:

Album Size Stamps per Page

Large 25

Small 10

We can see that a large page can hold 25 stamps, and a small page can hold 10 stamps.

To determine the number of large pages that Matt needs, we can divide the total number of stamps by the number of stamps per large page:

Number of large pages = total number of stamps / stamps per large page

Number of large pages = 750 / 25

Number of large pages = 30

So Matt will need 30 large pages to hold all his stamps.

To determine the number of small pages that Matt needs, we can divide the total number of stamps by the number of stamps per small page:

Number of small pages = total number of stamps / stamps per small page

Number of small pages = 750 / 10

Number of small pages = 75

So Matt will need 75 small pages to hold all his stamps.

Therefore, Matt will need 30 large pages and 75 small pages to hold all 750 of his stamps.

The number of each type of page that Matt need to hold all 1660 stamps are 70 small pages and 47 large pages.

To determine how many of each type of page Matt will need to hold all 1660 stamps, we will use the information provided in the table.

Small pages (24 stamps per page):

To find the number of small pages needed, divide the total number of stamps by the number of stamps per page.

1660 stamps ÷ 24 stamps/page = 69.17 pages

Since Matt can't have a fraction of a page, he will need 70 small pages to hold all 1660 stamps.

Large pages (36 stamps per page):

To find the number of large pages needed, divide the total number of stamps by the number of stamps per page.

1660 stamps ÷ 36 stamps/page = 46.11 pages

Again, since Matt can't have a fraction of a page, he will need 47 large pages to hold all 1660 stamps.

In summary, Matt will need 70 small pages (24 stamps per page) and 47 large pages (36 stamps per page) to hold all 1660 stamps.

Therefore, Matt will need a total of 70 + 47 = 117 pages to hold all 1660 stamps, with 70 of them being small pages with 24 stamps per page and 47 of them being small pages with 36 stamps per page.

Note: The question is incomplete. The complete question probably is: Matt bought a collection of 1660 stamps. He needs to choose between an album with large pages and an album with small pages to hold his stamps. The number of stamps per page for both album sizes is shown in the table. How many of each type of page will Matt need to hold all 1660 stamps?

                      Stamps per page       Number of pages       Total stamps

Small pages     24                                                                1660

Small pages     36                                                                1660

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The solution of the given linear equation can be obtained as x = 0.4.

The distributive property states that the product of a number and the sum of other numbers is equal to the sum of their individual products.

It can be expressed as a(b + c + d) = ab + ac + ad.

The given linear equation can be solved as follows,

-2.5(4x - 4) = -6

Use distribute property in the RHS to obtain,

-2.5 × 4x - 2.5 × -4 = 6

=> -10x + 10 = 6

=> -10x = -4

=> x = 0.4

Hence, the given equation can be solved as x = 0.4.

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The result of the test is that the assumption that the two population variances are equal is rejected at the 5% significance level, since the p-value is less than 0.05.

The first step is to set up the null hypothesis, which is that the population variances are equal for groups with and without a moderator. Then, we can use an F-test to compare the variances of the two groups. We calculate the F-statistic and its associated p-value. If the p-value is less than 0.05, then we reject the null hypothesis that the population variances are equal at the 5% significance level. In this case, the p-value is less than 0.05, so we reject the null hypothesis and conclude that the population variance is higher for groups with a moderator.The calculation of the F-statistic is as follows: F = (σ2_moderator) / (σ2_no moderator) = (24.4^2)/(20.2^2) = 1.49. The associated p-value is calculated using the F-distribution table, and is less than 0.05.

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For a symmetric distribution, the left whisker extends from the median to the minimum value in the dataset.

The left whisker represents the lower values or the lower tail of the distribution. It is also referred to as the "lower whisker" or the "whisker on the left side". The length of the left whisker may vary depending on the spread or range of the data.

In a box plot or box-and-whisker plot, the left whisker represents the lower values or the lower tail of the distribution. It indicates the range of values that lie below the median. The length of the left whisker is determined by the spread or range of the data.

If the data has a smaller range and is more tightly clustered around the median, the left whisker will be shorter. This indicates that the lower values in the dataset are relatively close to the median. On the other hand, if the data has a larger range and is more spread out, the left whisker will be longer. This suggests that the lower values in the dataset are more dispersed or spread out from the median.

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(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:

C

Step-by-step explanation:

Answer:

8

Step-by-step explanation:

Based on the given conditions, formulate: 90 divided by 11.25

Convert decimal to fraction: 90/1125/100

Reduce the fraction: 90/45/4

Divide a fraction by multiplying its reciprocal: 90x4/45

Reduce the expression to the lowest term: 2x4

Calculate the product or quotient: 8

Answer:

Step-by-step explanation:

2x