PLEASEEEE HURRY!! What MUST be true for a parabola that has a maximum value? (Select all that apply) a.) the leading coefficient is positive b.) the leading coefficient is negative. C.) it opens up d.) opens down

Answer:

-4

Step-by-step explanation:

i dont know this part but im pretty sure u only need the answer so there u go

Given equation is 2 + 7x = sin(xy²). To find dy/dx, we will use the implicit differentiation of the given function with respect to x.

To obtain the derivative of y with respect to x,

we have to differentiate both sides of the given equation.

After applying the differentiation on both sides, we will have the following result:

7 + (y² + 2xy cos(xy²)) dy/dx = (y² cos(xy²)) dy/dx

The above equation can be solved for dy/dx by getting the dy/dx term on one side and solving the equation to get the expression of dy/dx.

We get,dy/dx (y² cos(xy²) - y² - 2xy cos(xy²)) = - 7dy/dx = -7/(y² cos(xy²) - y² - 2xy cos(xy²))

This is the required derivative of the given equation.

The derivative of the given function is obtained using implicit differentiation of the given function with respect to x. The solution of the derivative obtained using implicit differentiation is dy/dx = -7/(y² cos(xy²) - y² - 2xy cos(xy²)).

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Using exponential functions, it is found that a = 1.5 would cause the function to stretch.

The exponential function given is:

\(y = \left(\frac{1}{3}\right)^x\)

Hence, a = 1.5 would cause the function to stretch.

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Answer:

1.5 is the value of a in the exponential function below would cause the function to stretch

The kinetic energy of the Mars Climate Orbiter spacecraft is approx    3.31 x 10^7 joules.

To determine the kinetic energy of the Mars Climate Orbiter spacecraft, we can use the formula:

Kinetic energy = (1/2) * mass * velocity^2

Given:

Mass of the spacecraft (m) = 629 kg

Velocity of the spacecraft (v) = 1.20 x 10^4 km/h

First, we need to convert the velocity from km/h to m/s:

1 km = 1000 m

1 h = 3600 s

Velocity in m/s = (1.20 x 10^4 km/h) * (1000 m/km) / (3600 s/h) ≈ 333.33 m/s

Now, we can calculate the kinetic energy:

Kinetic energy = (1/2) * (629 kg) * (333.33 m/s)^2

Kinetic energy ≈ 3.31 x 10^7 joules

Therefore, the kinetic energy of the Mars Climate Orbiter spacecraft is approximately 3.31 x 10^7 joules.

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The numbers are 17 and 39

We can use a system of equation to solve this

x=2y+5

x+y=56

Solving...

2y+5+y=56

3y=51

y=17

x=2(17)+5

x=39

Answer:

whats the question?

Step-by-step explanation:

Answer:

Angle 7 = 56 °

Step-by-step explanation:

Angles 8 and 7 = 180 degrees

To get the degree of angle 7 subtract 124 from 180

180 - 124 = 56 degrees

Angle 7 = 56 degrees

Answer:

3

Step-by-step explanation:

3 + 2 < 6

5<6

Therefore the answer should be 3

Most data is likely to be skewed following a particular trait because when considering real life data, it is likely that it may concentrate on one end of the values on the real line as there is high uncertainty that exists with real life.

There is very little confidence that the population would behave in expected ways.

The skewed distribution implies the distribution that is not symmetrical. If a distribution is skewed it can be skewed to the left i.e. mean lies to the left of the center or skewed to the right i.e. mean lies to the right of the center of the distribution.

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Answer:

The answer is D

Step-by-step explanation:

The x-intercept is any point where y crosses 0 on a table graph.

Answer:

area = 25.136

Step-by-step explanation:

to find the area of a circle, you use the formula v=pi times the radius squared

Answer:

30.6716 feet

hope it helps you

Using a one-sample t-test, we cannot conclude that the mean time to spoil is significantly different when bananas are hung from the ceiling.

3.9, 4.9, 5.1, 3.9, 4, 5.8, 7, 5, 3.6, 4.3, 4.4, 6, 6.8, 6.7, 7.1, 5.2

We can calculate the sample mean and sample standard deviation:

Sample mean (x) = (3.9 + 4.9 + 5.1 + 3.9 + 4 + 5.8 + 7 + 5 + 3.6 + 4.3 + 4.4 + 6 + 6.8 + 6.7 + 7.1 + 5.2) / 16 = 5.3

Sample standard deviation (s) = √[(Σ(xi - x)²) / (n - 1)] = √[(Σ( - 5.3)²) / 15] ≈ 1.273

We will perform a one-sample t-test using the null hypothesis (H0) that the mean time to spoil is equal to 6.2 days, and the alternative hypothesis (H1) that the mean time to spoil is less than 6.2 days.

The test statistic is calculated as:

t = (x - μ) / (s / √n)

Where μ is the hypothesized mean (6.2), s is the sample standard deviation (1.273), and n is the sample size (16).

Plugging in the values:

t = (5.3 - 6.2) / (1.273 / √16) ≈ -0.887

To determine the critical t-value for a one-tailed test at α = 0.05 level of significance with 15 degrees of freedom (n - 1), we refer to the t-distribution table or use statistical software. The critical t-value is approximately -1.753.

Since the test statistic (-0.887) does not exceed the critical t-value (-1.753), we fail to reject the null hypothesis. This means that there is not enough evidence to conclude that the mean time to spoil is less when bananas are hung from the ceiling compared to the average time of 6.2 days, at the α = 0.05 level of significance.

Therefore, we cannot conclude that the mean time to spoil is significantly different when bananas are hung from the ceiling.

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Answer:

B. The surface area

Step-by-step explanation:

From the diagram, we can see that

Answer:

what type of answer are you looking for exactly

Step-by-step explanation:

Answer:\(\color{iron}{}\)

Amplitude:

\(\color{iron}{5π/4}\)

Period:

\(\color{iron}{3.14 x (4)²}\)

\(\color{iron}{3.14 x 16}\)

\(\color{iron}{A=5.4π}\)

The value of function at x = 36 is 34.12.

To find the cost of mailing an object that weighs 36 pounds, we can substitute the value of x into the function f(x) = 5.32 + 0.80x.

The function f(x) = 5.32 + 0.80x represents a linear relationship between the weight of the object (x) and the cost (f(x)) with a base cost of $5.32 and an additional cost of $0.80 per pound. By plugging in the value of 36 into the function, we can calculate the specific cost for that weight.

Plugging in x = 36, we have:

f(36) = 5.32 + 0.80 * 36

Simplifying the expression:

f(36) = 5.32 + 28.8

f(36) = 34.12

Therefore, f(36) is equal to 34.12. This means that it would cost $34.12 to mail an object weighing 36 pounds according to the given function.

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Answer:

3

Step-by-step explanation:

I plugged it into desmos and it said it can go up to 3.16 but you can't have 3.16 machines so it's 3.

Answer:

C or 3

Step-by-step explanation:

Got is right on edge 2020.

Answer:

subtraction

Step-by-step explanation:

its subtraction because if you do 62.5-2.5 it = 60 and then 60-2.5=57.5 57.5-2.5=55 55-2.5=52.5 52.5-2.5=50 50-2.5= 47.5 47.5-2.5 = 45 s so it was 7 or 8 years ago idk count them see how many times i did it

The statsmodels ols() method is used on an exam scores dataset to fit a multiple regression model using exam4 as the response variable. exam1, exam2, and exam3 are used as predictor variables. the general form of this model is

The general form of a multiple regression model using exam1, exam2, and exam3 as predictor variables and exam4 as the response variable is:

exam4 = beta_0 + beta_1 * exam1 + beta_2 * exam2 + beta_3 * exam3

where beta_0 is the intercept term and beta_1, beta_2, and beta_3 are the coefficients for exam1, exam2, and exam3, respectively. These coefficients represent the change in the response variable (exam4) for a one-unit change in the predictor variables, holding all other predictor variables constant.

The statsmodels ols() method can be used to fit this multiple regression model to a dataset. The ols() method stands for "ordinary least squares," which is a method for estimating the parameters (i.e., the beta coefficients) in a linear regression model. To use the ols() method, you will need to specify the predictor variables and the response variable as input variables and provide the data for these variables as a Pandas DataFrame. You can then call the fit() method on the ols() object to fit the model to the data.

For example, if your data is stored in a Pandas DataFrame called "df," you could fit a multiple regression model using exam1, exam2, and exam3 as predictor variables and exam4 as the response variable with the following code:

import statsmodels.formula.api as smf

model = smf.ols(formula='exam4 ~ exam1 + exam2 + exam3', data=df)

results = model.fit()

Once the model is fit, you can access various summary statistics and parameters of the model using the results object. For example, you can access the coefficients of the model using the params attribute, like this:

beta_0 = results.params[0]

beta_1 = results.params[1]

beta_2 = results.params[2]

beta_3 = results.params[3]

You can also use the summary() method on the results object to get a summary of the model fit, including the R-squared value, the F-statistic, and the p-values for the coefficients.

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Answer:

x=5

Step-by-step explanation:

x-3=2

x-3=2

 +3  +3

x=5

From the graph, if the price increases to $25

The quantity demand will decrease

Quantity supply increases --------This is the reaction from the retailers

5b+12c=105    She can buy 21 Books or 8 CDs and 1 book or a variation of both.

Answer:

  A) 452.39 cm²

Step-by-step explanation:

You want the area of a circle with radius 12 cm.

The formula for the area of a circle is ...

  A = πr²

Using 12 cm for the radius (r), we have ...

  A = π(12 cm)² ≈ 452.39 cm²

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Answer:( -4,5)

Step-by-step explanation:

Since the radius is 6 units, I just went down 6 units from the center.

Answer:

x = 49/8, y = -11/2

Step-by-step explanation:

look at the attached picture.

The distance that she runs from one corner of the field to another is given as follows:

147.1 yards.

The Pythagorean Theorem states that for a right triangle, the length of the hypotenuse squared is equals to the sum of the squared lengths of the sides of the triangle.

The distance in this problem is the diagonal of a rectangle, which is the hypotenuse of a right triangle in which the length and the width are the sides, hence:

d² = 85² + 120²

d = sqrt(85² + 120²)

d = 147.1 yards.

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Answer:

84 in²

Step-by-step explanation:

(15+6)0.5 * 8 = 21(0.5) * 8 = 10.5 * 8 = 84

After completing the following steps, you will have the quadratic regression equation that models the data with values rounded to the nearest whole number. Keep in mind that you'll need specific data points to provide an actual equation.

To find the values that complete the quadratic regression equation for a given set of data, you'll need to follow these steps:

1. Organize the data points into a table with x-values and y-values.
2. Determine the sums of x, y, x², x³, x⁴, and xy.
3. Create a system of linear equations using the sums found in step 2.
4. Solve the system of linear equations to find the coefficients a, b, and c.
5. Write the quadratic regression equation in the form y = ax² + bx + c, rounding the coefficients to the nearest whole number.

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Answer: Hence we have 6 × 3 = 18 words of this type. Therefore, using the equation (i), (ii) and (iii). Total words with 4 letter are : 1680 + 756 + 18 = 2454 ∴ 2454 different permutations can be formed from the letter of the word EXAMINATION taken four at a time.