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Alekssandra [29.7K]
2 years ago
10

What is a Regression equation

Mathematics
1 answer:
Veseljchak [2.6K]2 years ago
6 0

Answer:

Regression equations can help you figure out if your data can be fit to an equation.This is extremely useful if you want to make predictions from your data- either future predictions or indications of past behavior.For example,you might want to know what your savings are going to be worth in the future.There are several types of regression equations,some of the more common include exponential and simoke linear regression.In elementary statistics,the regression equation you are most likely to come across is the linear form.

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antiseptic1488 [7]

Answer:

Step-by-step explanation:

7 0
3 years ago
Factor/simply x^2-3x+9/4<br> (Please explain also)
Burka [1]

Answer: PSR (Perfect Square Rule) = (x-3/2)^2

The you simplify.... = x^2 - 3x + 9/4

Step-by-step explanation: Factor by using the PSR (Perfect Square Rule). Then you have to simplify.

Hope this helps you out! ☺

7 0
3 years ago
Find the correct value of x
bearhunter [10]

Answer: x = 20

Step-by-step explanation:

Right angle = 90

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3 0
2 years ago
A researcher determines that students are active about 60 + 12 (M + SD) minutes per day. Assuming these data are normally distri
rjkz [21]

Answer:

The correct option is (b).

Step-by-step explanation:

If X \sim N (µ, σ²), then Z=\frac{X-\mu}{\sigma}, is a standard normal variate with mean, E (Z) = 0 and Var (Z) = 1. That is, Z \sim N (0, 1).

The distribution of these z-variate is known as the standard normal distribution.

The mean and standard deviation of the active minutes of students is:

<em>μ</em> = 60 minutes

<em>σ </em> = 12 minutes

Compute the <em>z</em>-score for the student being active 48 minutes as follows:

Z=\frac{X-\mu}{\sigma}=\frac{48-60}{12}=\frac{-12}{12}=-1.0

Thus, the <em>z</em>-score for the student being active 48 minutes is -1.0.

The correct option is (b).

4 0
3 years ago
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Komok [63]

Answer:

Step-by-step explanation:

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7 0
2 years ago
Read 2 more answers
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