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mihalych1998 [28]
3 years ago
14

Plsss help !!! Math is fun

Mathematics
1 answer:
alina1380 [7]3 years ago
4 0

Answer:

the answer is as stated above

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Help please step by step explanation.
Arada [10]
The upper
Fence is the top of the box. 40

The lower fence is the bottom of the box. 30

Upper fence. 70
Lower fence. 50
8 0
3 years ago
I need help on my math test im not sure how to find the GCF of an equation so please help me
SCORPION-xisa [38]

Answer:

2x^3

2x^{3}

3 0
3 years ago
· The volume of Olivia's rectangular lunchbox is 240 cubic inches. The lunchbox has a height of 3 inches, and its length is 2 in
miskamm [114]

The volume of a cuboid is = length × width × height.

Let the width  of Olivia's lunch box be 'x'.

Hence the length of Olivia's lunch box shall be 'x + 2'

Also the height of the box is given as 3 inches.

The volume of the box is 240 in³

Substituting in the formula we get

x(x+2)(3) =240

Dividing by 3 on both sides

x(x+2)=80

Exapnding we get

x^2+2x=80

Subtracting 80 from both sides

x^2+2x-80=0

Factoring

(x+10)(x-8)=0

We get

x= -10  or x = 8

But x cannot be negative

So x = 8

Hence the width of the box is 8 inches.

7 0
4 years ago
Read 2 more answers
Please help I will mark brainlist if correct
Furkat [3]
Hi there!

Since the slope of a line perpendicular to a line is always the negative inverse of that slope, you just switch the numerator and denominator around and add or omit the negative sign to the original slope.

The answer would be -2.

Hope this helps!
5 0
3 years ago
For each of parts (a) through (d), indicate whether we would generally expect the performance of a flexible statistical learning
olga_2 [115]

Step-by-step explanation:

First, note that a flexible statistical learning method refers to using models that take into account agree difference in the observed data set, and are thus adjustable. While the inflexible method usually involves a model that has no regard to the kind of data set.

a) The sample size n is extremely large, and the number of predictors p is small. (BETTER)

In this case since the sample size is extremely large a flexible model is a best fit.

b) The number of predictors p is extremely large, and the number of observations n is small. (WORSE)

In such case overfiting the data is more likely because of of the small observations.

c) The relationship between the predictors and response is highly non-linear. (BETTER)

The flexible method would be a better fit.

d) The variance of the error terms, i.e. σ2=Var(ϵ), is extremely high. (WORSE)

In such case, using a flexible model is a best fit for the error terms because it can be adjusted.

6 0
3 years ago
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