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ivolga24 [154]
4 years ago
11

Shen needs 271 programs for the school play on Thursday. How many boxes of programs will he need, given that each box contains 3

5 programs?
Mathematics
1 answer:
lesantik [10]4 years ago
8 0
7 because if you divide it by 35, it's seven.
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6) BRAINLIEST AND 15 + POINTS :)
aniked [119]

Answer:

C

Step-by-step explanation:

y》0.5x + 1.8

x = 4, y = 4.5

4.5》0.5(4) + 1.8

4.5》3.8 (true)

7 0
3 years ago
Is the point (5, -7) a solution to the equation <br> Y &gt; -2x + 3
nordsb [41]
No,isn’t solution
-7>-2*5+3
-7>-7 wrong
3 0
3 years ago
7. Look at this figure
kap26 [50]

Answer:

thx for the 32 points

Step-by-step explanation:

3 0
3 years ago
Read 2 more answers
The equation for the circle below is the x2 + y2=81. what is the length of the circles radius
larisa [96]

Answer:

9

Step-by-step explanation:

Compare your x2 + y2=81 to the following:

                       x^2 + y^2 = 81

The " ^ " symbol indicates exponentiation.

Now compare  x^2 + y^2 = 81 to

                         x^2 + y^2 = r^2.  

This is the standard equation of a circle of radius r centered at the origin, (0,0).  You can see for yourself that 81 must equal r^2.


Taking the square root of 81, we get plus or minus 9.

But the radius must be positive, so we reject the -9 and take +9.

The radius is 9.

8 0
3 years ago
Read 2 more answers
If the correlation between height and weight of a large group of people is 0.74, find the coefficient of determination (as a per
Vika [28.1K]

Answer:

B. The coefficient of determination is 54.76%. Therefore, 54.76% of the variation in weight can be explained by the regression line.

Step-by-step explanation:

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

The coefficient of determination is a measure to quantify how a model explains an dependent variable.

The formula for the correlation coeffcient is given by:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

The formula for the coefficient of determination is r^2

In our case the correlation coefficient obtained was 0.74

And the determination coefficient is R=0.74^2 =0.5476, and if we convert this into % we got 54.76%

Assume that height is the predictor (X) and weight is the response (Y)

And the best answer for this case is:

B. The coefficient of determination is 54.76%. Therefore, 54.76% of the variation in weight can be explained by the regression line.

4 0
3 years ago
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