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 setosa? ý = Ex: 1.234 It Ex: 1.234 What is the predicted sepal width for iris setosa for a flower with a sepal length of 4.75? Ex: 5.12 cm
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 setosa? ý = Ex: 1.234 It Ex: 1.234 What is the predicted sepal width for iris setosa for a flower with a sepal length of 4.75? Ex: 5.12 cm
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Hi,
Please answer all parts. Also, please list the solution in the same format as the question attached
ex.
Y= 0.765x + 2.98
5.3cm
Thank you!
![ed Statistics home > 2.3: Least squares method
CHALLENGE ACTIVITY
2.3.2: Excel: Linear regression.
Click this link to download the spreadsheet for use in this activity.
Start
2.
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 setosa?
ý = Ex. 1.234
x+ Ex: 1.234
What is the predicted sepal width for iris setosa for a flower with a sepal length of 4.75?
Ex: 5.12
cm
Check
Next
Feedback?
D-D-](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F775d54bd-f872-4631-aaed-0626111ff230%2F0b83dd04-7a00-43d7-837b-8e153e8b099b%2F7s6lcka_processed.jpeg&w=3840&q=75)
Transcribed Image Text:ed Statistics home > 2.3: Least squares method
CHALLENGE ACTIVITY
2.3.2: Excel: Linear regression.
Click this link to download the spreadsheet for use in this activity.
Start
2.
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 setosa?
ý = Ex. 1.234
x+ Ex: 1.234
What is the predicted sepal width for iris setosa for a flower with a sepal length of 4.75?
Ex: 5.12
cm
Check
Next
Feedback?
D-D-
![12:13 D
IE 56%
44 - Unsaved
fx
A
D
F
G
H
Sepal leng Sepal wid Species
2
5.1
3.5 Iris-seto
Field: Sepal length and Field: Sepal width appear
4.9
3 Iris-seto
highly correlated.
4
4.7
3.2 Iris-seto
5
4.6
3.1 Iris-seto
4.5
6.
5
3.6 Iris-seto
4
7
5.4
3.9 Iris-seto
3.5
4.6
3.4 Iris-seto
3
5
24 kis
3.4 Iris-seto
2.5
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4.4
2.9 Iris-seto
2
11
4.9
3.1 Iris-seto
1.5
12
5.4
3.7 Iris-seto
1
13
4.8
3.4 Iris-seto
0.5
3 Iris-seto
3 Iris-seto
14
4.8
15
4.3
1
2
3
4
5
16
5.8
4 Iris-seto
Sepal length
17
5.7
4.4 Iris-seto
18
5.4
3.9 Iris-setosa
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5.1
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3.8 Iris-setosa
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3.8 Iris-setosa
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3.4 Iris-setosa
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3.7 Iris-setosa
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4.6
3.6 Iris-setosa
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3.3 Iris-setosa
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27
5
3 Iris-setosa
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3.5 Iris-setosa
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5.2
3.4 Iris-setosa
31
4.7
3.2 Iris-setosa
32
4.8
3.1 Iris-setosa
22
33
5.4
3.4 Iris-setosa
34
5.2
4.1 Iris-setosa
35
5.5
4.2 Iris-setosa
36
4.9
3.1 Iris-setosa
37
5
3.2 Iris-setosa
38
5.5
3.5 Iris-setosa
3.3
39
4.9
3.1 Iris-setosa
40
4.4
3 Iris-setosa
41
5.1
3.4 Iris-setosa
42
5
3.5 Iris-setosa
43
4.5
2.3 Iris-setosa
44
4.4
3.2 Iris-setosa
45
5
3.5 Iris-setosa
46
5.1
3.8 Iris-setosa
47
4.8
3 Iris-setosa
48
5.1
3.8 Iris-setosa
49
4.6
3.2 Iris-setosa
50
5.3
3.7 Iris-setosa
51
5
3.3 Iris-setosa
52
53
dro
Sepal width](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F775d54bd-f872-4631-aaed-0626111ff230%2F0b83dd04-7a00-43d7-837b-8e153e8b099b%2Fj08ni7_processed.jpeg&w=3840&q=75)
Transcribed Image Text:12:13 D
IE 56%
44 - Unsaved
fx
A
D
F
G
H
Sepal leng Sepal wid Species
2
5.1
3.5 Iris-seto
Field: Sepal length and Field: Sepal width appear
4.9
3 Iris-seto
highly correlated.
4
4.7
3.2 Iris-seto
5
4.6
3.1 Iris-seto
4.5
6.
5
3.6 Iris-seto
4
7
5.4
3.9 Iris-seto
3.5
4.6
3.4 Iris-seto
3
5
24 kis
3.4 Iris-seto
2.5
10
4.4
2.9 Iris-seto
2
11
4.9
3.1 Iris-seto
1.5
12
5.4
3.7 Iris-seto
1
13
4.8
3.4 Iris-seto
0.5
3 Iris-seto
3 Iris-seto
14
4.8
15
4.3
1
2
3
4
5
16
5.8
4 Iris-seto
Sepal length
17
5.7
4.4 Iris-seto
18
5.4
3.9 Iris-setosa
19
5.1
3.5 Iris-setosa
20
5.7
3.8 Iris-setosa
21
5.1
3.8 Iris-setosa
22
5.4
3.4 Iris-setosa
23
5.1
3.7 Iris-setosa
24
4.6
3.6 Iris-setosa
25
5.1
3.3 Iris-setosa
26
4.8
3.4 Iris-setosa
27
5
3 Iris-setosa
28
3.4 Iris-setosa
29
5.2
3.5 Iris-setosa
30
5.2
3.4 Iris-setosa
31
4.7
3.2 Iris-setosa
32
4.8
3.1 Iris-setosa
22
33
5.4
3.4 Iris-setosa
34
5.2
4.1 Iris-setosa
35
5.5
4.2 Iris-setosa
36
4.9
3.1 Iris-setosa
37
5
3.2 Iris-setosa
38
5.5
3.5 Iris-setosa
3.3
39
4.9
3.1 Iris-setosa
40
4.4
3 Iris-setosa
41
5.1
3.4 Iris-setosa
42
5
3.5 Iris-setosa
43
4.5
2.3 Iris-setosa
44
4.4
3.2 Iris-setosa
45
5
3.5 Iris-setosa
46
5.1
3.8 Iris-setosa
47
4.8
3 Iris-setosa
48
5.1
3.8 Iris-setosa
49
4.6
3.2 Iris-setosa
50
5.3
3.7 Iris-setosa
51
5
3.3 Iris-setosa
52
53
dro
Sepal width
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