Which regression equation best fits these data?
у
(
-16)
(-2, 145
(1. 15)
- 4
8
-3
12
• (-3, 12)
(2.12)
10
-2
14
(3,9)
(-4,8)
-1
16
(4.5)
5
15
0
12
-2
0
2.
4
6
3
9
4
5
O A. y=-0.43x + 11.34
O B. y= 0.58x2 + 0.43x+15.75
O c. y= 10.72 · 0.95%
O D. y=-0.58x2 - 0.43x+ 15.75

Which regression equation best fits these data у 16 2 145 1 15 4 8 3 12 3 12 212 10 2 14 39 48 1 16 45 5 15 0 12 2 0 2 4 6 3 9 4 5 O A y043x 1134 O B y 058x2 04 class=

Respuesta :

Answer:

the answer is D

Step-by-step explanation:

The regression equation best fits these data [tex]y=-0.58x^2 - 0.43x+ 15.75[/tex].

How does linear regression work?

Firstly, there is a data set. Then, we try to fit a line that will tell about the linear trend. This line is made using the least-squares method.

When the data shows some trend, either linear (making a line), or non-linear (a predictable curve).

We fit a mathematical curve on that data set, as a representative of the pattern in that data set, to predict the output based on the inputs.

Using the exponential regression calculator,

The exponential model was obtained using the data.

Therefore, The regression equation best fits these data

[tex]y=-0.58x^2 - 0.43x+ 15.75[/tex]

Learn more about exponential regression here:

https://brainly.com/question/12608685

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