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nika2105 [10]
3 years ago
13

The dimensions of a lawn shaped like a trapezoid are given in meters. 4m,5m,12m,18m. What is the area of the lawn in square mete

rs? A:108m, B:60m, C:72m, D:120m.
Mathematics
1 answer:
xeze [42]3 years ago
4 0

Some tell me plzzzzzzzzzzxzzzzzzzzz

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a team's stadium has a capacity of 86,047. The fan base is notorious for selling out of tickets every game. If every game sells
ycow [4]

Answer:

1,032,564 tickets

Step-by-step explanation:

Find how many tickets they sell in total by multiplying the capacity of the stadium by the number of games in the season:

86,047(12)

= 1,032,564

So, if every game sells out, 1,032,564 tickets will be sold.

5 0
3 years ago
I need to find the slope and b <br> Y=mx+b <br> HELP ME
Naddika [18.5K]

Answer:

y=-\frac{4}{3}x+20

Step-by-step explanation:

stupid enough

y=mx+b

\frac{y1-y2}{x1-x2}

slope = 16-12/3-6

-4/3

y=-\frac{4}{3}x+b

plug in x and y

16=-4/3(3)+b

b=20

<h2><em><u>Red</u></em></h2>
7 0
2 years ago
A set of bivariate data was used to create a least squares regression line. Which of the following is minimized by the line
77julia77 [94]

Answer:

B) The sum of the squared residuals

Step-by-step explanation:

Least Square Regression Line is drawn through a bivariate data(Data in two variables) plotted on a graph to explain the relation between the explanatory variable(x) and the response variable(y).

Not all the points will lie on the Least Square Regression Line in all cases. Some points will be above line and some points will be below the line. The vertical distance between the points and the line is known as residual. Since, some points are above the line and some are below, the sum of residuals is always zero for a Least Square Regression Line.

Since, we want to minimize the overall error(residual) so that our line is as close to the points as possible, considering the sum of residuals wont be helpful as it will always be zero. So we square the residuals first and them sum them. This always gives a positive value. The Least Square Regression Line minimizes this sum of residuals and the result is a line of Best Fit for the bivariate data.

Therefore, option B gives the correct answer.

5 0
2 years ago
Read 2 more answers
2/5 (x-4) =2x. Solve for x
Bess [88]
\dfrac{2}{5}(x-4)=2x\ \ \ \ |multiply\ both\ sides\ by\ 5\\\\2(x-4)=10x\ \ \ \ |use\ distributive\ property:a(b-c)=ab-ac\\\\2x-8=10x\ \ \ |add\ 8\ to\ both\ sides\\\\2x=10x+8\ \ \ \ |subtract\ 10x\ from\ both\ sides\\\\-8x=8\ \ \ \ |divide\ both\ sides\ by\ (-8)\\\\\boxed{x=-1}
7 0
3 years ago
What is the answer to this question ?
Arisa [49]

Answer:

4

Step-by-step explanation:

h(7)= 7²-1= 49-1= 48

f(h(7))= 48/3 -12

= 16-12

= 4

7 0
3 years ago
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