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dusya [7]
3 years ago
13

What is the missing term in the trinomial expression below?

Mathematics
1 answer:
agasfer [191]3 years ago
6 0

Answer:

14 i hope this leads you into the good

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If 3 3/4 lb. of candy cost $20.25, how much would 1 lb. of candy cost.
Jet001 [13]

3 3/4 lb of candy costs $ 20.25

we have been given a mixed fraction with both whole number and fraction

so lets convert it an improper fraction

3 3/4

3 wholes are equivalent to 3*\frac{4}{4} = \frac{12}{4}

then 3 3/4 is - \frac{12}{4} + \frac{3}{4} = \frac{15}{4}

so 15/4 lbs -- $ 20.25

then 1 lb is -- \frac{20.25}{15/4} = \frac{20.25*4}{15} = \frac{81}{15} = 5.4

therefore 1 lb is equal to $ 5.40

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4 years ago
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PLEASE HELP 20 POINTS
Thepotemich [5.8K]

terms are t

and like terms are numbers


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3 years ago
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Find the gradient of the function g(x,y)= xy at the point (5. - 1). Then sketch the gradient together with the level curve that
guapka [62]

This question is incomplete, the complete question is;

Find the gradient of the function g(x,y)= xy² at the point (5, - 1). Then sketch the gradient together with the level curve that passes through the point.

First find the gradient vector at (5, - 1).

Vg(5,- 1) = [ ]i - [ ]j (Simplify your answers.)

Choose the graph that shows the level curve and the gradient vector at (5, - 1).

options of the sketched graphs are uploaded along this answers

Answer:

Vg(5,- 1) = [ 1 ]i - [ 10 ]j

Option A is the correct graph for this Level

Step-by-step explanation:

Given that;

g(x,y) = xy²

we have to find gradient of this function at ( 5, -1 )

so

Δg(x,y) = dg/dx + dg/dy

d(g)/dx = y² ,       dg/dy = 2gx

therefore

Δg(x,y) = [y²]i + [2yx]j

Δ( 5, -1) = [-1²]i + [2×-1 ×5]j

=Δ(5, -1) = 1i - 10j

[ 1 ]i - [ 10 ]j

Therefore Option A is the correct graph for this Level

3 0
3 years ago
10 Points!!! Write the equation of a line with slope 2 and y-intercept -1.
Alchen [17]

Answer:

y=2x-1

Step-by-step explanation:

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3 years ago
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The least squares regression line minimizes the sum of the:
lorasvet [3.4K]

Answer:

d) Squared differences between actual and predicted Y values.

Step-by-step explanation:

Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.

For example,

suppose a = 10 and b = 7. If X is 10, then  predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.

It minimize the squared difference between actual and predicted value.

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4 years ago
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