Answer:
Do not help her she is toxic
Step-by-step explanation:
Which number should be added to
both sides of this quadratic equation
to complete the square?
(-3/2)² + 1 = x² − 3x + (-3/2)²
Answer:
9/4
Step-by-step explanation:
You want to know the value required to complete the square in the equation 1 = x² -3x.
PictureYour picture shows the required value: (-3/2)² = 9/4.
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10-80 The Clean-Up Vacuum Company is designing a new upright vacuum cleaner.
A. What shapes can they use to model this new vacuum cleaner?
B. The Clean-Up Vacuum Company has decided to use a cylindrical model for the body of the
vacuum. They want it to be 2.5 feet tall and have a circumference of 14 inches. If only 75% of
the cylindrical body can hold the dirt from cleaning, how much dirt can the new upright
vacuum hold?
The shapes that can be used to model the new upright vacuum cleaner are primarily cylindrical for the body and conical or spherical for the dust container and The new upright vacuum cleaner can hold approximately 2.19 cubic feet of dirt in its cylindrical body
To answer these questions, we need to follow these steps:
step 1. Identify the shapes: In this case, the company has decided to use a cylindrical model for the body of the vacuum cleaner. The dirt container can be either conical or spherical.
step 2. Calculate the volume of the cylindrical body: The company wants the vacuum to be 2.5 feet tall with a circumference of 14 inches. First, we need to convert the circumference to feet: 14 inches = 14/12 = 1.167 feet.
Next, we need to find the radius (r) of the cylinder using the circumference formula: C = 2πr.
Solving for r:
we get r = C/(2π) = 1.167/(2π) ≈ 0.186 feet.
step 3. Calculate the volume of the cylinder using the formula:
V = πr²h
= π(0.186)²(2.5)
≈ 2.92 cubic feet.
step 4. Determine the dirt holding capacity: The company states that only 75% of the cylindrical body can hold dirt. Therefore, we need to multiply the total volume by 0.75: 2.92 x 0.75 ≈ 2.19 cubic feet.
So, the new upright vacuum cleaner can hold about 2.19 cubic feet of dirt in its cylindrical body.
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help me with this question please
Answer:
I'm sorry I don't know wish I could help you out
Why is it useful to know the definition of rational expression? Explain through an example of your own.
Answer:
a rational number is an expression in which the numerator and denominator are polynomials. this is useful to know because often polynomials can be factorized. besides, if there is a variable in the denominator, there will be one or more restrictions.
example: (4x²-25)(2x+5) is simplified to 2x-5 with restrictions x≠-5/2
Charlie is 4 more than twice as old as Frank. Frank is 3 years younger than Bob,
If Bob is 9 years old, how old is Charlie?
Answer:
16
Step-by-step explanation:
x + 3= 9
x = 6
2x + 4= 2*6 + 4
2x + 4 = 12 + 4
2x + 4 =16
Charlies 16
hope it helps
Answer: he is 16
Step-by-step explanation:
Let x = Frank's age
2x+4+ = Charlie's age
x+3+ = Bob's age
9 = Bob's age
x+3=9
x=6
2x+4=2⋅6+4
2x+4=12+4
2x+4=16
Charlie is 16
is anyone expert here in data forecasting methods? I need some help in some topics like time series(holts, holts winter), naive method, regression, acf, pacf, arima, stl method and multivariate time series. please reply if you can help me with these topics
Yes, there are experts here in data forecasting methods who can help you with the topics you've mentioned including time series (holts, holts winter), naive method, regression, acf, pacf, arima, stl method and multivariate time series.
Below are brief explanations of each of these terms:
Time Series: A time series is a sequence of observations of a particular quantity measured over time. Holts Method: The Holt’s method is a forecasting method that forecasts the data by taking into account the trend component along with the level component. Holts Winter Method: Holt's winter model is used to forecast seasonal univariate time series.Naive Method: The naive method is a forecasting method that uses the most recent observation as a forecast for the next time period.Regression: Regression is a statistical method used to estimate the strength and direction of the relationship between two or more variables.ACF & PACF: Autocorrelation function (ACF) and partial autocorrelation function (PACF) are statistical tools used to determine the nature of the correlation between a variable and its lag.ARIMA: ARIMA stands for AutoRegressive Integrated Moving Average. ARIMA is a forecasting technique that uses past data points to predict future values.STL Method: STL is a time series decomposition method that separates a time series into three components: trend, seasonality, and random.Multivariate Time Series: Multivariate time series analysis deals with the analysis of time series data that involves more than one variable.Based on the topics you've mentioned, you may want to ask specific questions regarding these topics to get more detailed answers.To know more about data forecasting, visit
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What is the cost of nuclear, coal, gas, wind, hydel, and sun electricity separately
Step-by-step explanation:
Nuclear: 6-20 cents per kWh
Coal: 5-17 cents per kWh
Gas: 5-15 cents per kWh
Wind: 2-9 cents per kWh
Hydro: 5-20 cents per kWh
Solar: 10-20 cents per kWh
what is 15 less than or equal to -5x
Answer:
less than tell me if i'm wrong
ASAP!! Please help me. I will not accept nonsense answers, but will mark as BRAINLIEST if you answer is correctly with solutions.
Answer:
A: \(f(x)\leq -2\)
Step-by-step explanation:
After graphing the equation, the highest point is (-1,-2). Since f(x) is the 2nd number in the coordinates (x, f(x)), the range is \(f(x)\leq -2\)
Ocean waves and electromagnetic waves
are similar in that they both transmit
energy.
TRIE
Answer:
true they are similar
Answer:
True
Step-by-step explanation:
Question 2-1
A company is offering a bank account. The value, in dollars, of the account is represented by the function A(r) = 50,000(1.02), where t represents the number of years since
the account was first opened. Determine the average rate of change of the account value from t=0 to t=5. Express your answer to the nearest cent.
It represents the average amount of change in the function per unit throughout that time period.
What is the rate of change of the average?Divide the change in y-values by the change in x-values to calculate the average rate of change. When analyzing changes in measurable parameters like average speed or average velocity, finding the average rate of change is quite helpful.
The formula R = D/T, or rate of change equals the distance traveled divided by the time required to do so, can be used to approach rate-of-change problems in general.
It represents the average amount of change in the function per unit throughout that time period. It is generated from the slope of the straight line joining the interval's ends on the graph of the function.
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How do you find an expression for a cubic function f if f(5) = 300 and f(−5) = f(0) = f(6) = 0?
The expression for the cubic function f is -5x^3 + 20x^2 - 25x.
To find an expression for a cubic function f(x) given specific values, we can start by using the general form of a cubic function: f(x) = ax^3 + bx^2 + cx + d.
We are given three points on the graph of the function: (5, 300), (-5, 0), and (0, 0), as well as (6, 0) which gives us a fourth point.
Substituting the x and y values into the equation, we get the following system of equations:
For point (5, 300):
300 = a(5^3) + b(5^2) + c(5) + d
For point (-5, 0):
0 = a(-5^3) + b(-5^2) + c(-5) + d
For point (0, 0):
0 = a(0^3) + b(0^2) + c(0) + d
For point (6, 0):
0 = a(6^3) + b(6^2) + c(6) + d
Simplifying these equations, we obtain a system of linear equations in terms of a, b, c, and d. Solving this system will give us the coefficients for the cubic function.
After solving the system, we obtain the expression for the cubic function:
f(x) = -5x^3 + 20x^2 - 25x
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what is the y-intercept from the following?
Answer:
the y intercept is -3
Step-by-step explanation:
if you need an explanation lmk!
Answer:
y- intercept = - 3
Step-by-step explanation:
The y- intercept is where the line crosses the y- axis.
This occurs when the x- coordinate is zero
From the table
when x = 0 , then y = - 3 ← y- intercept
Brian leaves la at 8. 00am to drive to san francisco 400km away he travels at a steady 50 mph who gets to san drancisco first
Based on the provided information of speed, A) Beth gets to San Francisco first. B) The first to arrive has to wait for 20 minutes for the second to arrive.
A) To find out who gets to San Francisco first, we need to calculate the time it takes for each of them to travel the distance of 400 miles.
For Brian, we use the formula time = distance / speed:
time = 400 miles / 50 mph = 8 hours
So Brian will arrive in San Francisco at 4:00 p.m. (8:00 a.m. + 8 hours).
For Beth, we use the same formula:
time = 400 miles / 60 mph = 6.67 hours
So Beth will arrive in San Francisco at 3:40 p.m. (9:00 a.m. + 6.67 hours).
Therefore, Beth gets to San Francisco first.
B) To find out how long the first to arrive has to wait for the second, we subtract the arrival time of the first from the arrival time of the second:
wait time = 4:00 p.m. - 3:40 p.m. = 0.33 hours = 20 minutes
So the first to arrive has to wait for 20 minutes for the second to arrive.
Note: The question is incomplete. The complete question probably is: Brian leaves Los Angeles at 8:00 a.m. to drive to San Francisco, 400 miles away. He travels at a steady speed of 50 mph. Beth leaves Los Angeles at 9:00 a.m. and drives at a steady speed of 60 mph. A) Who gets to San Francisco first? B) How long does the first to arrive have to wait for the second?
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2. (12 points) Suppose the simple regression model y₁ = Bo + B₁x₁ + ₁, i = 1,..., n. under MLR.1 through MLR.4. Find the OLSE B, and show that is unbiased. Score
The OLSE for β₁ in the simple regression model is B₁ = (n∑[x₁y₁] - B∑[x₁]) / ∑[x₁²]. It is unbiased, meaning its expected value is equal to the true coefficient β₁.
To find the ordinary least squares estimator (OLSE) for the regression coefficients in the simple regression model, we need to minimize the sum of squared residuals. The OLSE for the coefficient β₁ is obtained by differentiating the sum of squared residuals with respect to β₁ and setting it equal to zero. Let's go through the steps:
Step 1: Model Assumptions
MLR.1: Linearity: The relationship between the response variable (y₁) and the predictor variable (x₁) is linear.
MLR.2: Independence: The observations are independent of each other.
MLR.3: Homoscedasticity: The variance of the errors (ε) is constant for all values of x₁.
MLR.4: No perfect multicollinearity: There is no perfect linear relationship between the predictor variable (x₁) and other predictor variables.
Step 2: Define the sum of squared residuals (SSR)
SSR = ∑[y₁ - (Bo + B₁x₁)]²
Step 3: Minimize SSR
To find the OLSE for β₁, we differentiate SSR with respect to β₁ and set it equal to zero:
∂SSR/∂B₁ = -2∑[y₁ - (Bo + B₁x₁)]x₁ = 0
Step 4: Solve for B₁
Expanding the equation: -2∑[y₁x₁ - Box₁ - B₁x₁²] = 0
Rearranging and dividing by -2: ∑[y₁x₁] - ∑[Box₁] - ∑[B₁x₁²] = 0
Since it is a simple regression model, we have: n∑[x₁y₁] - B∑[x₁] - B₁∑[x₁²] = 0
Simplifying the notation: n∑[x₁y₁] - B∑[x₁] - B₁∑[x₁²] = 0
Step 5: Solve for B₁
Rearranging the equation, we get: B₁∑[x₁²] = n∑[x₁y₁] - B∑[x₁]
Dividing both sides by ∑[x₁²], we obtain: B₁ = (n∑[x₁y₁] - B∑[x₁]) / ∑[x₁²]
Step 6: Show that the OLSE B₁ is unbiased
To demonstrate that B₁ is unbiased, we need to show that its expected value is equal to the true coefficient β₁.
E(B₁) = E((n∑[x₁y₁] - B∑[x₁]) / ∑[x₁²])
Since expectation is a linear operator, we can split it up:
E(B₁) = (nE(∑[x₁y₁]) - BE(∑[x₁])) / E(∑[x₁²])
Now, by the law of iterated expectations:
E(B₁) = (n∑[xE(y₁|x)]) - B∑[xE(x₁)]) / ∑[xE(x₁²)]
Since E(y₁|x) = Bo + B₁x₁, and E(x₁) = x₁, we have:
E(B₁) = (n∑[x(Bo + B₁x₁)] - B∑[x(x₁)]) / ∑[x(x₁²)]
Expanding the sums:
E(B₁) = (nBo∑[x] + nB₁∑[x₁²] - B∑[x(x₁)]) / ∑[x(x₁²)]
Since Bo, B₁, and x₁ are constants, they can be taken out of the sums:
E(B₁) = Bo(n∑[x]) + B₁(n∑[x₁²]) - B(∑[x(x₁)]) / ∑[x(x₁²)]
The terms Bo(n∑[x]) and B₁(n∑[x₁²]) can be written as:
Bo(n∑[x]) = nBo(∑[x]) = n∑[x]Bo
B₁(n∑[x₁²]) = nB₁(∑[x₁²]) = n∑[x₁²]B₁
Substituting back into the equation:
E(B₁) = n∑[x]Bo + n∑[x₁²]B₁ - B(∑[x(x₁)]) / ∑[x(x₁²)]
Now, recall that the true model is given by: y₁ = Bo + B₁x₁ + ε₁
Taking expectations: E(y₁) = E(Bo + B₁x₁ + ε₁)
Since E(ε₁) = 0: E(y₁) = Bo + B₁x₁
Comparing this with the definition of E(B₁), we see that:
E(B₁) = B₁
Therefore, the OLSE B₁ is unbiased, as its expected value is equal to the true coefficient β₁.
Note: In the above derivation, I assumed that the error term ε₁ follows the properties of MLR.1 through MLR.4, namely, it has a mean of zero, constant variance, and is normally distributed. These assumptions are necessary for the unbiasedness property of the OLSE.
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El gerente de la Tienda de Muebles de Jessica está tratando de averiguar cuánto cobrar por un sillón que acaba de llegar. El sillón se compró a un precio de mayoreo de $1200 y la tienda incrementa un 45% el precio de todos sus muebles. ¿A qué precio deberá vender el gerente el sillón?
Answer:
El gerente debe vender el sillón a $ 1740.
Step-by-step explanation:
(This exercise is presented in Spanish and for that reason explanation will be held in Spanish)
Sean \(C_{o}\) = $ 1200 y \(r\) = 45 %.
La tienda aplica un incremento de precios para obtener una utilidad por la venta del mueble. Este factor se calcula a partir de la siguiente fórmula:
\(C = C_{o}\cdot \left(1+\frac{r}{100} \right)\)
Donde:
\(C_{o}\) - Coste de compra del sillón, en unidades monetarias.
\(C\) - Coste de venta del sillón, en unidades monetarias.
\(r\) - Porcentaje de incremento del coste del sillón, adimensional.
El precio de venta del sillón es:
\(C = \$ 1200\cdot \left(1+\frac{45}{100} \right)\)
\(C = \$ 1740\)
El gerente debe vender el sillón a $ 1740.
How do I convert a string to an int in Matlab?.
In MATLAB, you can convert a string to an integer using the str2double() or str2num() function. Both functions convert a string to a double-precision floating-point number, but str2num() also supports the conversion of strings to other numeric data types.
Here's an example of how to convert a string to an integer using str2double():
str = '123'; % string to convert to integer
num = str2double(str); % convert the string to a double-precision number
int = int32(num); % convert the double-precision number to a 32-bit integer
In this example, the str variable contains the string '123', which we want to convert to an integer. We first use the str2double() function to convert the string to a double-precision number, which we then convert to a 32-bit integer using the int32() function.
Alternatively, you can use the str2num() function to convert the string directly to an integer:
str = '123'; % string to convert to integer
int = int32(str2num(str)); % convert the string to a 32-bit integer
In this example, we use the str2num() function to convert the string directly to a 32-bit integer, and then assign the result to the int variable.
It is important to note that if the string cannot be converted to a number, both functions will return NaN (Not a Number). Additionally, if the string represents a number that is too large to be represented by an integer, the result will be rounded or truncated.
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Joe has some pocket money. He spends three-quarters of it. He has fifty pence left. How much pocket money did he have
Answer:
He started with 1.25
Step-by-step explanation:
Joe started with 1.25 if he spends 3 quarters of that which is equal to .75 hell have .50 left
1.25-.75=.50
how to put this in a simple form 5*5*5*(-4)*(-4)*(-4)*(-4)*(-4) like i know how to put the 5 exponent of 3 but i don't know ow to do the (-4)
Answer:
5^3 and (-4)^2
Step-by-step explanation:
A^b means a is the base and b is the exponent
The probability that a visitor to an animal shelter will adopt a dog is .20. Out of nine visits, what is the probability that at least one dog will be adopted?
O .8658
O .3020
O .5639
O .1342
The probability that at least one dog will be adopted out of nine visits is approximately 0.8658.
How to calculate probabilityTo calculate the probability that at least one dog will be adopted out of nine visits, we can use the complementary probability approach.
The complementary probability of an event A is equal to 1 minus the probability of the event not happening (denoted as A'). In this case, event A is the adoption of at least one dog.
The probability that no dogs are adopted in a single visit is:
1 - 0.20 = 0.80.
Therefore, the probability of no dogs being adopted in all nine visits is:
(0.80)⁹ since the visits are assumed to be independent.
Using the complementary probability approach, the probability of at least one dog being adopted is:
P(at least one dog) = 1 - P(no dogs)
P(at least one dog) = 1 - (0.80)⁹
Calculating this expression, we get:
P(at least one dog) ≈ 0.8658
Therefore, the probability that at least one dog will be adopted out of nine visits is approximately 0.8658.
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A parabola has focus (5,7) and directrix y=0(the X-axis). Write an equation that says point (x,y) is on the
parabola.
Answer:
Step-by-step explanation:
focus of the parabola is (2,0) and directrix is x=-2. Here,a=2.So, Equation becomes, y2=4∗2x⇒y2=8x, which is the required equation of parabola.
The equation of a parabola with the given focus and directrix is x²-10x+74=14y.
What is an equation of a parabola?A parabola refers to an equation of a curve, such that a point on the curve is equidistant from a fixed point, and a fixed line
Given that, a parabola has focus (5,7) and directrix y=0.
When the focus (h, k) of a parabola and the equation of the directrix y = c are given, the equation of the parabola is given by (x-h)²+k²-c²=2(k-c)y
Here, y=c=0
Now, (x-5)²+7²-0²=2(7-0)y
x²-10x+25+49=14y
x²-10x+74=14y
Therefore, the equation of a parabola is x²-10x+74=14y.
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Fill in the missing numbers to complete the linear equation that gives the rule for this table.
Answer:
y = 6x - 61 bold numbers are what you put in the boxes
Step-by-step explanation:
Use any 2 (x,y) pairs to find the slope:
slope = m = Δy/Δx = (-25 - (-31)) / (6-5) = 6
Pick any (x,y) pair and use the point-slope form to find the y-intercept, b:
y - (-13) = 6(x - 8)
y + 13 = 6x - 48
y = 6x - 48 - 13
y = 6x - 61 now you have the slope-intercept form
6
01
12
Above, a triangle is removed from the rectangle. Find the area of the remaining figure.
36 in?
42 in?
57 in?
O 72 in?
Answer:
57 inches
Step-by-step explanation:
the area with the triangle is 72
the area of the triangle was 15
write the equation of a line in point-slope form for a line that passes through the point (-2,1) and has a slope of -3
Answer:
y-1=-3(x+2)
Step-by-step explanation:
In a sale, the price of a book is reduced by 25%.
The price of the book in the sale is £12
Work out the original price of the book
Question: In a sale, the price of a book is reduced by 25%. The price of the book in the sale is £12. Work out the original price of the book
Answer: £16
Step-by-step explanation:
To determine the original price of the book, we can use the fact that the sale price is 75% (100% - 25%) of the original price. Let's denote the original price as x.
75% of x = £12
To solve for x, we can set up the equation:
0.75x = £12
To isolate x, we divide both sides of the equation by 0.75:
x = £12 / 0.75
x = £16
Therefore, the original price of the book was £16.
Will V − E + F always equal 2?
The expression V − E + F is an illustration of the Euler's formula.
The expression V − E + F is always 2
How to determine the true statement?The equation is given as:
V - E + F = 2
Where:
V represents the verticesE represents the edgesF represents the facesAccording to the Euler's formula, the relationship between V, E and F is:
V + F = 2 + E
Subtract E from both sides
V - E + F = 2
Hence, the expression V − E + F is always 2
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While reading about a research study, which of the following would tell you that an association claim is being
made?
a. The presence of a scatterplot or bar graph
b. The measurement of two variables
c. The use of a correlation coefficient
d. The interrogation of internal validity
The answer to this question is c.The use of a correlation coefficient.
The use of a correlation coefficient would tell you that an association claim is being made in a research study. A correlation coefficient is a statistical measure that shows the strength and direction of a relationship between two variables. It ranges from -1 to 1, with 0 indicating no relationship and -1 or 1 indicating a perfect negative or positive relationship, respectively.
A scatterplot or bar graph may be used to visually display the relationship between two variables, but they do not necessarily indicate that an association claim is being made. The measurement of two variables is necessary for any type of research study, but it does not inherently imply that an association claim is being made.
Interrogation of internal validity is a process used to ensure that the study's results accurately reflect the relationship between the variables being studied. It is important for any research study but does not specifically indicate that an association claim is being made.
Therefore,the answer to this question is c.The use of a correlation coefficient.
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this question is too hard
Answer:
There are 33 nuts in the bag, to 21 dried fruits.
Total number of dried fruits is 21, while the total number of nuts is 33.
Step-by-step explanation:
whats five and twenty-three thousandths wirten as a decimal giving brainest
Answer:
5.023 I believe
Step-by-step explanation:
How does the ideological matrix help to better express political beliefs?
The ideological matrix provides a framework that aids in the expression of political beliefs by offering a comprehensive and structured system to analyze and articulate one's ideas and values.
The ideological matrix serves as a conceptual tool that organizes political ideologies along a spectrum, allowing individuals to position themselves within this framework. It encompasses a range of political beliefs, including liberalism, conservatism, socialism, libertarianism, and many others. By familiarizing themselves with these ideologies and their core tenets, individuals can evaluate their own perspectives and beliefs more effectively.
The ideological matrix also provides a shared language and vocabulary for discussing political ideas. It facilitates more nuanced and precise communication by offering a set of concepts and principles that are widely recognized and understood within political discourse. This framework allows individuals to express their political beliefs with clarity, coherence, and consistency, enhancing their ability to engage in meaningful discussions and debates with others.
Furthermore, the ideological matrix helps individuals understand the historical and theoretical underpinnings of different ideologies, providing a broader context for their political beliefs. It allows for a deeper exploration of the values and principles that shape political ideologies, helping individuals refine and articulate their own beliefs in a more comprehensive and informed manner. This enhanced understanding and clarity enable individuals to express their political beliefs more effectively, both within their immediate social circles and in public forums, fostering a more robust and informed political discourse.
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