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iragen [17]
3 years ago
6

Georgianna wants to use the linear model associated with the data in the table to make a prediction.

Mathematics
2 answers:
Sloan [31]3 years ago
7 0

Answer:

0 to 30 minutes on edg.

Step-by-step explanation:

mrs_skeptik [129]3 years ago
3 0

Answer:

c on e 2020

Step-by-step explanation:

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Look at the imagine. Help asap.
Stella [2.4K]

2x-1 < x+3

5x-1 > 6-2x

x-5 < 0

solve the inequality for x.

x < 4

x > 1

X < 5

find the intersection

X ∑ {1,4}

Alternative form: {x I 1 < x < 4}

∑ indicates summation and is used as a shorthand notation for the sum of terms that follow a pattern. For example, the sum of the first 4 squared integers, 12+22+32+42, follows a simple pattern: each term is of the form i2, and we add up values from i=1 to i=4.

4 0
9 months ago
The input is 8 and the output is 26 what's the rule?
LuckyWell [14K]

Answer:

It could either be x * 3.25 or x + 18

Step-by-step explanation:

8 * 3.25 = 26

8 + 18 = 26

3 0
3 years ago
john won 72 pieces of gum playing hoops at the country fair at school he gave four to every student in his math class he only ha
MA_775_DIABLO [31]
18 Kids in his class you have to divide 72 by 4 which will give u 18
Good Luck! ~Sophie Hernandez
8 0
3 years ago
suppose you performed a regression analysis. you were given four observations of the target at [1.0, 1.5, 2.8, 3.7], and you pre
Arlecino [84]

Suppose you performed a regression analysis. The mse for this scenario is 0.105

Regression is a statistical method used in finance, making an investment, and different disciplines that attempt to determine the electricity and man or woman of the relationship between one established variable (commonly denoted through Y) and a sequence of different variables (called independent variables).

We are able to say that age and peak can be described through the usage of a linear regression version. because someone's peak will increase as age will increase, they have got a linear courting. Regression fashions are commonly used as statistical proof of claims regarding regular statistics.

"Regression" comes from "regress" which in turn comes from Latin "regresses" - to head returned (to something). In that feel, regression is the approach that permits "to head again" from messy, hard-to-interpret data, to a clearer and more significant version.

y ypred (y-ypred)^2

1 1.1 0.01

1.5 1.3 0.04

2.8 3.2 0.16

3.7 3.7 0

The error sum of the square is given by

ESS = (y- )

ESS=0.21

The mean square error is given by

ESS MSE = ESS/dfe

MSE = \frac{0.21}{2}

MSE = 0.105

Learn more about regression here brainly.com/question/26755306

#SPJ4

6 0
1 year ago
10^5 =<br><br>easy question​
Gennadij [26K]

Answer:

10^5 = 100000

Step-by-step explanation:

✌️❤️✌️

....

4 0
2 years ago
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