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sukhopar [10]
3 years ago
5

The surface area of a rectangular prism is 115 square inches. What are possible dimensions of the prism?

Mathematics
1 answer:
Delvig [45]3 years ago
7 0
I think D? not to sure
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PLEASE HELP FOR BRAINLIEST!!
marissa [1.9K]
The answers are in the picture I hope this helps! Pls put me in the brainliest lol

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3 years ago
Write an equation in slope-intercept form of the line having the given slope and y-intercept.
pychu [463]

Answer:

The answer to your question is   y = 4/6x - 4

Step-by-step explanation:

Data

m = 4/6

P (0, -4)

slope-intercept form = ?      y = mx + b    where m is the slope and

                                                                  b is the y-intercept

Formula

           y - y1 = m(x - x1)

Substitution

           y - (-4) = 4/6(x - 0)

Simplification

           y + 4 = 4/6x

Result

                 y = 4/6x - 4

slope = 4/6  y-intercept = -4

7 0
3 years ago
Solve:<br><br> x^2 = 81<br><br> x^2 = -9 <br><br> x^2 = 20<br><br> 3x^2 = 125
sergeinik [125]
<span>x^2 = 81
x = </span>±√81
x = ±9<span>

x^2 = -9 no solutions 

x^2 = 20
x = </span>±√20
x = <span>±2</span>√5<span>

</span>3x^2 = 125 \\ &#10;x^2 =   \frac{125}{3} \\ x=б \sqrt{ \frac{125}{3} }<span>
</span>
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3 years ago
A new mixture of​ self-tanning &amp; moisturizing lotions for everyday use is being developed. This mixture is made by mixing 90
butalik [34]
I don't know but i need points so thanks
7 0
3 years ago
If the correlation between height and weight of a large group of people is 0.75​, find the coefficient of determination​ (as a​
Shtirlitz [24]
Independent variable is the predictor variable which is the height and dependent variable is the response variable which is weight in this scenario.

The square of correlation coefficient gives the coefficient of determination. It is denoted by R² (R squared).

We are given:
R = 0.75

So,
R²  = 0.75²

R² = 0.5625

R²  = 56.25 %
The coefficient of determination tells how much of the trend of dependent data can be explained by the independent data using the linear regression model. So in the given case, Height can explain 56.25% of the trend in the weight.
4 0
3 years ago
Read 2 more answers
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