The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are measured, all in cm: sepal length, sepal width, petal length, and petal width. What is the equation for the least square regression line where the independent or predictor variable is sepal length and the dependent or response variable is sepal width for iris versicolor? ý = Ex 1.234 I+ Ex: 1.234 What is the predicted sepal width for iris versicolor for a flower with a sepal length of 4.91? Ex: 5.12 cm
Family of Curves
A family of curves is a group of curves that are each described by a parametrization in which one or more variables are parameters. In general, the parameters have more complexity on the assembly of the curve than an ordinary linear transformation. These families appear commonly in the solution of differential equations. When a constant of integration is added, it is normally modified algebraically until it no longer replicates a plain linear transformation. The order of a differential equation depends on how many uncertain variables appear in the corresponding curve. The order of the differential equation acquired is two if two unknown variables exist in an equation belonging to this family.
XZ Plane
In order to understand XZ plane, it's helpful to understand two-dimensional and three-dimensional spaces. To plot a point on a plane, two numbers are needed, and these two numbers in the plane can be represented as an ordered pair (a,b) where a and b are real numbers and a is the horizontal coordinate and b is the vertical coordinate. This type of plane is called two-dimensional and it contains two perpendicular axes, the horizontal axis, and the vertical axis.
Euclidean Geometry
Geometry is the branch of mathematics that deals with flat surfaces like lines, angles, points, two-dimensional figures, etc. In Euclidean geometry, one studies the geometrical shapes that rely on different theorems and axioms. This (pure mathematics) geometry was introduced by the Greek mathematician Euclid, and that is why it is called Euclidean geometry. Euclid explained this in his book named 'elements'. Euclid's method in Euclidean geometry involves handling a small group of innately captivate axioms and incorporating many of these other propositions. The elements written by Euclid are the fundamentals for the study of geometry from a modern mathematical perspective. Elements comprise Euclidean theories, postulates, axioms, construction, and mathematical proofs of propositions.
Lines and Angles
In a two-dimensional plane, a line is simply a figure that joins two points. Usually, lines are used for presenting objects that are straight in shape and have minimal depth or width.
![Feedback?
CHALLENGE ACTIVITY
2.3.2: Excel: Linear regression.
Click this link to download the spreadsheet for use in this activity
Jump to level 1
The famous iris dataset (the first sheet of the spreadsheet linked above) was first published in 1936 by Ronald
Fisher. The dataset contains 50 samples from 3 iris species: setosa, virginia, and versicolor. Four features are
measured, all in cm: sepal length, sepal width, petal length, and petal width.
What is the equation for the least square regression line where the independent or predictor variable is sepal
length and the dependent or response variable is sepal width for iris versicolor?
ý = Ex 1.234
I+ Ex: 1.234
What is the predicted sepal width for iris versicolor for a flower with a sepal length of 4.91?
Ex: 5.12
cm](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F775d54bd-f872-4631-aaed-0626111ff230%2Fd112b7b6-aae9-4076-a00f-5b1a4b64cb3a%2Fkmb4aoo_processed.jpeg&w=3840&q=75)
![5:31 O OA
HG 84%
44 - Unsaved
fx
A
B
D
E
F
G
H
1
2
Sepal length Sepal width Species
"Sepal width' by 'Sepal length
3
3.2 Iris-versicolor
4
6.4
3.2 Iris-versicolor
5
6.9
3.1 Iris-versicolor
3.5
6
5.5
2.3 Iris-versicolor
3
7
6.5
2.8 Iris-versicolor
2.5
8
5.7
2.8 Iris-versicolor
6.3
3.3 Iris-versicolor
2
10
4.9
2.4 Iris-versicolor
11
6.6
2.9 Iris-versicolor
1
12
5.2
2.7 Iris-versicolor
13
2 Iris-versicolor
3 Iris-versicolor
2.2 Iris-versicolor
0.5
14
5.9
15
6.
1
2
4
5
16
6.1
2.9 Iris-versicolor
Sepal length
17
5.6
2.9 Iris-versicolor
18
6.7
3.1 Iris-versicolor
19
5.6
3 Iris-versicolor
20
5.8
2.7 Iris-versicolor
21
6.2
2.2 Iris-versicolor
22
5.6
2.5 Iris-versicolor
23
5.9
3.2 Iris-versicolor
24
6.1
2.8 Iris-versicolor
25
6.3
2.5 Iris-versicolor
26
6.1
2.8 Iris-versicolor
27
6.4
2.9 Iris-versicolor
28
6.6
3 Iris-versicolor
29
6.8
2.8 Iris-versicolor
30
6.7
3 Iris-versicolor
31
2.9 Iris-versicolor
32
5.7
2.6 Iris-versicolor
33
5.5
2.4 Iris-versicolor
34
5.5
2.4 Iris-versicolor
35
5.8
2.7 Iris-versicolor
36
6
2.7 Iris-versicolor
3 Iris-versicolor
3.4 Iris-versicolor
37
5.4
38
6
39
6.7
3.1 Iris-versicolor
40
6.3
2.3 Iris-versicolor
41
5.6
3 Iris-versicolor
42
5.5
2.5 Iris-versicolor
43
5.5
2.6 Iris-versicolor
44
6.1
3 Iris-versicolor
45
5.8
2.6 Iris-versicolor
46
2.3 Iris-versicolor
47
5.6
2.7 Iris-versicolor
3 Iris-versicolor
2.9 Iris-versicolor
48
5.7
49
5.7
50
6.2
2.9 Iris-versicolor
51
5.1
2.5 Iris-versicolor
52
5.7
2.8 Iris-versicolor
53
54
55
56
57
58
59
60
61
62
63
64
65
66
dro
Sepal width](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F775d54bd-f872-4631-aaed-0626111ff230%2Fd112b7b6-aae9-4076-a00f-5b1a4b64cb3a%2Frswbo8v_processed.jpeg&w=3840&q=75)
![](/static/compass_v2/shared-icons/check-mark.png)
Trending now
This is a popular solution!
Step by step
Solved in 3 steps with 7 images
![Blurred answer](/static/compass_v2/solution-images/blurred-answer.jpg)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![MATLAB: An Introduction with Applications](https://www.bartleby.com/isbn_cover_images/9781119256830/9781119256830_smallCoverImage.gif)
![Probability and Statistics for Engineering and th…](https://www.bartleby.com/isbn_cover_images/9781305251809/9781305251809_smallCoverImage.gif)
![Statistics for The Behavioral Sciences (MindTap C…](https://www.bartleby.com/isbn_cover_images/9781305504912/9781305504912_smallCoverImage.gif)
![Elementary Statistics: Picturing the World (7th E…](https://www.bartleby.com/isbn_cover_images/9780134683416/9780134683416_smallCoverImage.gif)
![The Basic Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319042578/9781319042578_smallCoverImage.gif)
![Introduction to the Practice of Statistics](https://www.bartleby.com/isbn_cover_images/9781319013387/9781319013387_smallCoverImage.gif)