10c - cd + d^3 (if c = -6 and d= 2)

If a certain unit of a commodity is produced with a marginal cost of [tex]\frac{dc}{da} =9x^{2}+4x+15x^{1/4} +10[/tex], the cost of producing the first 126 units is 289.4

How to differentiate a function?

Differentiation is a way of showing rate of change of a function at a given time.

The given function  [tex]\frac{dc}{da} =9x^{2}+4x+15x^{1/4} +10[/tex],

Differentiate with respect to x

[tex]\frac{dc}{da} =18x+4+\frac{15}{4} x-^{3/4}[/tex]

input the value 100 for the value of x,

This implies that [tex]\frac{dc}{da} =18x+4+\frac{15}{4} x-^{3/4}[/tex]

[tex]\frac{dc}{da}[/tex]=1800+4+[tex]\frac{15}{4}[/tex] x[tex]\frac{1}{\sqrt[4]{100^{3} } }[/tex]

[tex]\frac{dc}{da}=1800+4+\frac{15}{4}x\frac{1}{3.16}[/tex]

Simplifying further

[tex]\frac{da}{da} =1804+4.75[/tex]

[tex]\frac{dc}{da} =1808.75\\[/tex]

To produce the first 16 units,

[tex]\frac{1808.75}{100} }[/tex] x [tex]\frac{16}{1}[/tex]

The cost of producing the first 16 units is 289.4

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The value of the side c which is the hypotenuse of the given right angle triangle using Pythagoras theorem is; c = √148

Pythagoras Theorem is simply the way that we can find the missing length of a right angled triangle. The right angle triangle has three sides, namely the hypotenuse (which is the longest side), Opposite (which does not touch the hypotenuse) and then the adjacent side (which is between the opposite side and the hypotenuse).

The formula is literally;

c² = a² + b²

where;

c is hypotenuse and a and b are opposite and adjacent sides. Thus;

c² = 2² + 12²

c² = 4 + 144

c² = 148

c = √148

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The answer statements,

a) True

b) False

c) True

IHI Insurance in the given question is implemented using the linear regression analysis because it is used in the question to calculate the value of the number of yearly claims led by policyholders for motor insurance (y) (x2).

As per the question, at random 500 policyholders were selected.

The range of ages of people are between 16 to 70 years

The price range for the cars is between $1100 to $52000

According to the linear regression equation given in the question,

⇒ I = 13 + (-0.5)x1i + (0.1)x2i

a) [tex]y^{i}[/tex] = 13 + (0.5)x1i + (0.1)x2i

Given, x1i = 26, x2i = 20

⇒ [tex]y^{i}[/tex] = 13 + (-0.5)(26) + (0.1)(20)

⇒ [tex]y^{i}[/tex] = 2

Thus, it is not equal to the claim i.e. 28, so option b is false

According to the answer derived in option b,

We can see that the coefficient of x 1i is negative and such that it will be decreased by 0.5

Thus, option a is true

Now as the coefficient of x 2i is positive it will increase by 0.1

Thus, option c is true

Therefore, option a) is true, option b) is false and option c) is true.

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IHI Insurance has conducted a multiple linear regression analysis to predict the value of the number of annual claims incurred by a motor insurance policyholder (y)based on the age of the policyholder in years (x1) and the value of the car insured in thousands of dollars (x2). The analysis was based on a random sample of 500 policyholders. The ages in the sample ranged from 16 to 70 and the values of the cars in the sample ranged from $1,100 to $52,000. The multiple linear regression equation corresponding to IHI's analysis is y^i = 13 + (-0.5)x1i + (0.1)x2i.

Select whether the following statements regarding the multiple linear regression equation are true or false:

a 26-year-old policyholder with a car worth $20,000 is predicted to make 28 claims.

b) holding x2 constant, a one-year increase in x1 will result in a decrease of 0.5 in the predicted value of y.

c) holding x1 constant, a one thousand dollar increase in x2 will result in an increase of 0.1 in the predicted value of y.

Answer:

16 bags: 2 snicker bars and 5 lollipops in each

Step-by-step explanation:

The greatest common factor of 80 and 3 is 16.

80÷5=16

32÷2=16



And 5 represents the lollipops and 2 represents the snickers.

The binomial expansion of (y - 3)⁴ is B) y⁴ - 12y³ + 54y² - 108y + 81.

The Binomial Theorem is the method of expanding an expression that has been raised to any finite power.

An expression of two terms having a degree n can be represented as,

(a - b)ⁿ = [tex]^nC_na^n - ^nC_{n-1}a^{n-1}b+^{n}C_{n-2}a^{n-2}b^2+...(-1)^n\times^nC_0a^0b^n[/tex].

Given, (y - 3)⁴ = [tex]^4C_4y^4.3^0 - ^4C_3y^3.3 + ^4C_2y^23^2-^4C_1y.3^3+^4C_0y^03^4[/tex].

(y - 3)⁴ = y⁴ - 12y³ + 54y² - 108y + 81.

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Assuming the person's weight and magnitude, we can estimate their weight to be 491N.

A mathematical object's magnitude or size defines whether it is greater or smaller than other items of its kind.

In formal terms, an object's size can be thought of as the outward manifestation of an ordering—of the class of objects to which it belongs.

So, the person's weight will be:

The scale calculates the floor's usual upward force on the passenger.

The most force is produced when going up (when starting an upward trip or ending a downward trip).

The normal force is lowest when there is a downward acceleration.

Regarding any such situation

∑F y​ =ma y changes to +391Nmg = ma for halting and +591Nmg=+ma for starting. (Where a represents the size of the acceleration.)

Add these two simultaneous equations to eliminate a and determine mg:

+591N−mg+391N−mg=0

OR

982N–2mg=0

Fg​ = mg = 982N/2​ = 491N

Therefore, assuming the person's weight and magnitude, we can estimate their weight to be 491N.

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Complete question:

A person stands on a scale in an elevator. As the elevator starts, the scale has a constant reading of 591N. As the elevator later stops, the scale reading is 391N. Assuming the magnitude of the acceleration is the same during starting and stopping, determine the weight of the person.

The probability of finding such people will get closer to 0.61 as the sample gets bigger.

a) This means that if you were to take a large sample of US adults and inquire them about having breakfast, about 61%(i.e. 0.61) will say that they usually have breakfast.

b) It is, for sure, expected that if we take a sample of 100, around 61% of these americans will say that they usually eat breakfast. But if the number will be 61 exactly is not a certainty and it will vary from sample to sample.

The probability of finding such people will get closer to 0.61 as the sample gets bigger.

Explanation has been provided in the answers above due to their descriptive nature.

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a) If there are no seating restrictions, there are 720 different ways that three couples can be seated.

b) If each couple sits together, there are 48 different arrangements for three couples to be seated.

What is Fundamental counting principle?

If an event can happen in m different ways and another event can happen in n different ways, then the sum of the occurrences of the two events is m x n.

Given:

Three couples have reserved seats in a row for a concert.

(a) There are 3 couples, so 6 people must be seated in seats in row.

It is permutation of 6 elements, therefore, there are

6!=720 ways three couples can be seated when there is no seating restriction.

(b) We want that each couple sits together.

First we will find the number of permutations of 3 couples:

There are 3!=6 permutations of couple. (they can be ordered in 6 different ways).

Now we will find the number of permutations of each couple:

There are 2!=2 permutations of 2 people that makes a couple.

Therefore, by Fundamental Counting Principle, there are

3! ⋅ 2! ⋅ 2! ⋅ 2! = 6 ⋅ 2 ⋅ 2 ⋅ 2 = 48

ways three couples can be seated when each couple sits together.

Hence,

a) If there are no seating restrictions, there are 720 different ways that three couples can be seated.

b) If each couple sits together, there are 48 different arrangements for three couples to be seated.

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Complete question:

Three couples have reserved seats in a row for a concert. In how many different ways can they be seated when (a) there are no seating restrictions? (b) each couple sits together?

Given that the pay was $44,000 last year and $53,000 this year, the compensation will have increased by 20.45%.

In essence, percentages are fractions with a 100 as the denominator. We place the percent sign (%) next to the number to indicate that the number is a percentage. For instance, you would have received a 75% grade if you answered 75 out of 100 questions correctly on a test (75/100). Percentage is defined as "out of 100." Similar to fractions and decimals, percentages are used in mathematics to represent subsets of a whole. When expressing a sum as a percentage, 100 equal parts are considered to make up the whole.

Here,

Salary of staff last year=$44,000

Salary of staff this year=$53,000

The percent increase,

=(53000-44000)/44000*100

=20.45%

The percent increase in the salary will be 20.45% as the salary last year was $44,000 and the salary this year is $53,000.

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Answer:

Slope is undefined

Step-by-step explanation:

slope = [tex]\frac{\Delta y}{\Delta x}[/tex]

[tex]\frac{5-8}{-7-(-7)}=\frac{-3}{0}[/tex]

Anything divided by zero is undefined

This should make sense visually as the points describe a vertical line at [tex]x=-7[/tex]

It will take Lian's dog 12.5 weeks to finish the remaining food

Fractions are numbers written as a quotient, in which a numerator is divided by a denominator

Given that:

Lian's dog eats 1/20 of a bag of dog food each week

Lian currently has of a bag 5/8 remaining

Since Lian's dog eats 1/20 in one week and 5/8 is remaining.

In order to find the number of weeks it will take the dog to finish the remaining food. We can say:

Number of weeks = remaining food / food for one week

Number of weeks = (5/8) / (1/20) = 12.5 weeks

Therefore,  it will take Lian's dog 12.5 weeks to finish the remaining food

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Complete Question

Lian's dog eats 1/20 of a bag of dog food each week. Lian currently has 5/8 of a bag remaining.

How many weeks will it take Lian's dog to finish this remaining food?

Answer:

Yes, they can conclude that the grades of their graduates are distributed differently than the general population at the school. This is because the test statistic, chi-squared, is greater than the critical value, which is 7.81. This means that the difference between the observed and expected frequencies is statistically significant.

Step-by-step explanation:

There is a difference between the general population and college prep students in GPA.

An assumption or concept is given as a hypothesis for the purpose of debating it and testing if it might be true.

Given:

Numbers  Observed  Proportion   Expected  (O - E)   (O - E)²      (O - E)²/E

0 - 0.99      19                  0.07           14              5           25            1.79

1 - 1.99       28                  0.21            42            -14          196          4.67

2 - 2.99      82                  0.37           74              8           64           0.865

3 - 3.99      71                  0.35            70              1             1              0.0142

Now, X² = the sum of (O - E)²/E

= 8.33

The P-Value is .039662. The result is significant at p < .05.

Hence,

H₀: There is no difference between the general population and the college prep students in GPA.

H1: There is a difference between the general population and the college prep students in GPA.

Test statistic = 8.33

p - Value = 0.039662

Therefore, the alternate hypothesis is true.

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The probability that Shelia is diagnosed as having gestational diabetes is 0.003.

In the given question,

A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested.

Mean 129 mg/dl and standard deviation 9 mg/dl.

I have to find the probability that Shelia is diagnosed as having gestational diabetes

Z value corresponding to the mean result of 140 mg/dl is

(140-129)/4 = 2.75

Thus, the probability that Shelia is diagnosed as having gestational diabetes = P(Z > 2.75) = 0.003

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The right question is:

Shelia's doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if the glucose level is above 140 milligrams per deciliter one hour after a sugary drink is ingested. Shelia's measured glucose level one hour after ingesting the sugary drink varies according to the Normal distribution with mean 129 mg/dl and standard deviation 9 mg/dl. Let LL denote a patient's glucose level.

If the mean result from the four tests is compared to the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes?

Police must investigate 50 cars to find the​ car.

What is permutation and combination?

A combination could be a choice of things from a collection that has distinct members, such the order of choice doesn't matter.

Main body:

there are 2 possible position for the first letter.

there is 1 possible position for the second letter.

there are 5 possible position for the first number.

there are 4 possible position for the second number.

there is 3 possible position for the third number.

there are 2 possible position for the second number.

there is 1 possible position for the third number.

the total possibilities are 2 * 1 * 5 * 4* 3 * 2 * 1 = 50

Or we can solve by saying:

There are 2 letters T and V that can be in the first two positions in any order that is 2!, and there are 5 numbers (1,4 , 6 , 0 and 3) that can be in the last 5 positions in any order that is 5!.

Therefore possible arrangement

2! * 5! = 2 * 1 * 5 * 4 * 3 * 2 * 1 = 50

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Answer:

The answer is A) [tex]y=4x[/tex]

Step-by-step explanation:

This is because y directly corresponds to x, if x is 1, then y = 4, if x is 2, then y = 8 and so on.

Answer:

The answer is third one, 6 and 7/20.

Step-by-step explanation:

First, rewrite the decimal number as a fraction with 1 as the denominator.

[tex]\frac{6.35}{1}[/tex]

Then, multiply to remove 2 decimal places.

[tex]\frac{6.35}{1} *\frac{100}{100} = \frac{635}{100}[/tex]

Next, find the GCF(Greatest common factor) of 635 and 100, which is 5.

Divide both the numerator (top) and denominator (bottom) by the GCF (5)

Simply the improper fraction.

There you go!

Answer:

The answer is 165,1959 if you don't need to show work.

Answer:

45, odd

Step-by-step explanation:

54-9=45

The given trapezoid ABCD is an isosceles trapezoid and has vertices a(2, 4), b(5, 4), c(7, 1), and d(0, 1).

Quadrilaterals called trapezoids have two parallel and two non-parallel sides. It also goes by the name Trapezium. A trapezoid is a closed, four-sided form or figure that has a perimeter and covers a specific area. It is a 2D figure rather than a 3D one. The bases of the trapezoid are the sides that are parallel to one another. Legs or lateral sides refer to the non-parallel sides. The height is the separation between the parallel sides. This article provides formulas for the area of the trapezium as well as its types, properties, and other trapezoids.

Here,

Segments AB and CD are parallel and 3 units apart.

Point D is 2 units left of point A, and point C is 2 units right of point B. The trapezoid is symmetrical about the line x = 3.5, so is isosceles.

The given Trapezoid ABCD that has given vertices a(2, 4), b(5, 4), c(7, 1), and d(0, 1) is a isosceles trapezoid.

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Answer: Y = 8

Step-by-step explanation: If x = to 0 then 0+y=8 therefore y=8

Hope this helps

Answer:

y = 8

Step-by-step explanation:

Given information,

→ x + y = 8

→ x = 0

Now the value of y will be,

→ x + y = 8

→ 0 + y = 8

→ y = 8 - 0

→ [ y = 8 ]

Hence, the value of y is 8.

The lateral surface area is 667.92 m² and surface area is 1081.92 m².

The lateral surface area of a three-dimensional object is the surface area of the object minus the area of its bases.

Given is a triangular prism,

Lateral surface area = (side1 + side2 + side3)xh = (8+9+12.04)x23 = 667.92 m²

Surface area = (side1 + side2 + side3)xh + 2base area = 667.92 + 9x23x2 =  1081.92 m².

Hence, The lateral surface area is 667.92 m² and surface area is 1081.92 m².

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The most important measure used in regression diagnostics is the simple residual.

What is linear rigression?

In statistics, a scalar response and one or more explanatory factors are modeled using a linear approach called linear regression. Simple linear regression is used when there is only one explanatory variable; multiple linear regression is used when there are numerous explanatory variables.

Hypothesis testing is used to confirm if our beta coefficients are significant in a linear regression model. Every time we run the linear regression model, we test if the line is significant or not by checking if the coefficient is significant.

If there is a significant linear relationship between the independent variable X and the dependent variable Y, the slope will not equal zero.

The null hypothesis states that the slope is equal to zero, and the alternative hypothesis states that the slope is not equal to zero.

The most important measure used in regression diagnostics is the simple residual (e). This is the difference between each observed and predicted value of Y.

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The plane divide the circle into rn regions.

What is circle?

A circle may be a form consisting of all purposes in a very plane that ar at a given distance from a given point, the centre. Equivalently, it's the curve copied out by a point that moves in a very plane so its distance from a given point is constant.

Main body:

Suppose that n circles divide the plane into rn regions. Now you add another circle, C, that non-trivially intersects each of the first n circles. Start at any point on C and travel around C; you will cross one of the other n circles 2n times.

If p0 and p1 are two consecutive crossings, the arc of C from p0 to p1 divides one of the original rn regions into two smaller regions. You do this 2n times,that gives you a recurrence,

rn+1=rn+some simple function of n,

and you can fairly easily turn it into an expression for rn that is just a summation. If you do it right, it’s a summation that you can evaluate pretty easily in closed form to get a formula for rn.

Hence , the plane divide the region into rn regions.

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Marginal effects can be used to express how the predicted probability of a binary outcome changes with a change in a risk factor. For example, how does 1-year mortality risk change with a 1-year increase in age or for a patient with diabetes compared with a patient without diabetes

Logistic regression, also known as logit regression, logit model, or just logit, is one of the most regression analyses taught at universities and used in data analysis. It is a non-linear model which predicts the outcome of a categorical dependent variable with respect to a vector of independent variables. When performing a logit regression with a statistical package, such as Stata, R or Python, the coefficients are usually provided by log-odds scale. In short, this means that point estimates are complicated to interpret, however the sign and the confidence interval of estimates can be interpreted. For that reason, it is interesting to interpret the logit model in the probability scale, i.e. as probabilities.

Marginal effects measure the impact that an instantaneous change in one variable has on the outcome variable while all other variables are held constant. In the simple OLS model with linear effects, estimated coefficients are always equal to marginal effects.

An Independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable. Other factors (such as what they eat, how much they go to school, how much television they watch) aren't going to change a person's age. In fact, when you are looking for some kind of relationship between variables you are trying to see if the independent variable causes some kind of change in the other variables, or dependent variables.

Just like an independent variable, a dependent variable is exactly what it sounds like. It is something that depends on other factors. For example, a test score could be a dependent variable because it could change depending on several factors such as how much you studied, how much sleep you got the night before you took the test, or even how hungry you were when you took it. Usually when you are looking for a relationship between two things you are trying to find out what makes the dependent variable change the way it does.

Many people have trouble remembering which is the independent variable and which is the dependent variable. An easy way to remember is to insert the names of the two variables you are using in this sentence in they way that makes the most sense. Then you can figure out which is the independent variable and which is the dependent variable:

(Independent variable) causes a change in (Dependent Variable) and it isn't possible that (Dependent Variable) could cause a change in (Independent Variable).

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The result of hypothesis test on the given data null hypothesis is accepted and alternate hypothesis is rejected.

Hypothesis testing is a type of measurable deduction that utilizes information from an example to make determinations about a populace boundary or a populace probability distribution. Initial, a conditional supposition that is made about the boundary or dispersion. This supposition that is known as the invalid speculation and is meant by H0.

We have,

mean(X) = 162, n = 20 , standard deviation(σ) = 45,

Let us consider Null hypothesis H₀: μ=145

And alternate hypothesis Hₐ : μ[tex]\neq[/tex] 145

So, Z = X -  μ/σ/√n

Z = 162 - 145/45/√20 = 1.68

Now Level of significance(α)= 0.05

From the Z table,

Z = 1.96

So,  1.68 < 1.96

Thus, Null hypothesis is accepted and alternate hypothesis is rejected.

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The probability that you win the game is 50%.

The game is symmetrical for you and your opponent. Thus, your probability of winning is as good as your opponent's, so, you have a 50% of winning.

Symmetry goes into play in probability theory in this way: if different outcomes are equivalent, they would have the same probability.

A symmetrical distribution happens when the values of variables come at regular frequencies and usually the mean, median, and mode all happen at the same point.

In general, if there are N symmetrical outcomes, the probability of any given one of them happening is taken to be 1/N.

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a. The transformed equation is given as follows: h(x) = |x - 2| - 3.

b. The graph of the two functions is shown by the image presented at the end of the answer.

The translations are movements to the triangle in each of these directions:

The parent function in this problem is given as follows:

f(x) = |x|.

The first translation was a vertical translation three units down, hence we have that:

g(x) = f(x) - 3 = |x| - 3.

The second translation was a horizontal translation two units right, hence the have that the definition of the transformed equation h(x) is given as follows:

h(x) = g(x - 2) = |x - 2| - 3.

The graph of the functions is given by the image shown at the end of the answer, and the translations are verified on every point of the function, but especially the vertices.

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Answer:

(2x-286)

Step-by-step explanation:

Answer:

(2x-286

Step-by-step explanation:

step by step

Mark me brainliest

Answer:

144 if u multiply u will get ur answer because it is asking for the least number if 144 is to high that its got to be 1 which it can't that's if u divide it answer - 144

well, if we take 160 to be the 100%, what is 104 off of it in percentage?

[tex]\begin{array}{ccll} amount&\%\\ \cline{1-2} 160 & 100\\ 104& x \end{array} \implies \cfrac{160}{104}~~=~~\cfrac{100}{x} \\\\\\ \cfrac{ 20 }{ 13 } ~~=~~ \cfrac{100}{x}\implies 20x=1300\implies x=\cfrac{1300}{20}\implies x=\stackrel{\%}{65}[/tex]

Coats sold for 65% of its original price at a sale.

Percentage is defined as a given part or amount in every hundred. It is a fraction with 100 as the denominator and is represented by the symbol "%".

Given that, at a sale, coats were sold for $104 each and the coats originally cost $160 each.

Let x% of $160 be $104.

Now, x% of 160=104

x/100 ×160=104

x=104/160 ×100

x=0.65×100

x=65%

Therefore, 65% of coats original price was a coat sold for.

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