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Vinvika [58]
3 years ago
10

Derivative of (3x^2)(secx)

Mathematics
2 answers:
andrew11 [14]3 years ago
5 0
Hope this helps you.

Margarita [4]3 years ago
5 0

Find the derivative of

y = 3x² · sec x


To differentiate this function, apply the product rule:

y = u · v    ⇒    y' = u' · v + u · v'


So, for this one, you have

y' = (3x²)' · sec x + 3x² · (sec x)'

y' = 3 · (x²)' · sec x + 3x² · (sec x)'


The derivative of  x²  is  2x:

y' = 3 · 2x · sec x + 3x² · (sec x)'

y' = 6x · sec x + 3x² · (sec x)'


The derivative of  sec x  is  sec x · tan x:

y' = 6x · sec x + 3x² · (sec x · tan x)  


Take out the common factor  3x · sec x:

y' = (3x · sec x) · 2 + (3x · sec x) · x · tan x

y' = (3x · sec x) · (2 + x · tan x)   <———   this is the answer.


I hope this helps. =)

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Angelina_Jolie [31]

Answer:

(4,5)

Step-by-step explanation:

The "feasible region" has vertices (0,0), (7,0), (5,4), and (4,5)

P = 5x + 6y

Plug in each vertices in P  and find out which give maximum value

(0,0) => P= 5(0) + 6(0) = 0

(7,0) => P= 5(7) + 6(0) = 35

(5,4) => P= 5(5) + 6(4) = 49

(4,5) => P= 5(4) + 6(5) = 50

We got maximum P=50 for vertex (4,5)

So  the coordinates of the point that has the maximum value is  (4,5)

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4 years ago
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Thepotemich [5.8K]

Answer:

Step-by-step explanation:

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                         = 4y + 9*(-2) - y *(-2)

                         = 4y  - 18 + 2y      {Combine like terms 4y and 2y}

                         = 6y - 18

6y - 18 = 6*y - 6*3

           = 6(y - 3)

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2(3y - 9) and 6(y- 3 ) are equivalent to 4y - 2(5- y +4)

Others are not equivalent

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3. The data set shows the number of practice throws players in a basketball competition made and the number of free throws they
babymother [125]

<u>Answer-</u>

<em>The </em><em>exponential model</em><em> best fits the data set.</em>

<u>Solution-</u>

x = input variable = number of practice throws

y = output variable =  number of free throws

Using Excel, Linear, Quadratic and Exponential regression model were generated.

The best fit equation and co-efficient of determination R² are as follows,

<u>Linear Regression</u>  

y=2.155x+0.391,\ R^2=0.903

<u>Quadratic Regression</u>

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<u>Exponential Regression</u>

y=4.625e^{0.141x},\ R^2=0.951

The value of co-efficient of determination R² ranges from 0 to 1, the more closer its value to 1 the better the regression model is.

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Answer:

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Step-by-step explanation:

Equation of a line:

The equation of a line has the following format:

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Placing into the above format:

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The slope is m = \frac{4}{3}

Since they have the same slope, they are parallel.

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