Consider the following dataset of the Seattle Seahawks wide receivers for 2021 season. NameNumber Position Age Freddie Swain WR Height (in) Weight (Ibs) Experience College 2 Florida 14 72 199 Penny Hart John Ursua Tyler Lockett Matt Cole DK Metcalf Cade Johnson WR Cody Thompson WR Aaron Fuller Dee Eskridge WR 25 68 180 2 Georgia State 2 Hawai' 7 Kansas State 1 McKendree WR 27 69 182 WR 29 70 182 WR 25 70 197 WR 24 76 999 3 Ole Miss 23 70 O South Dakota State 1 Toledo 1 Washington o Western Michigan 184 25 74 205 WR 24 188 WR 24 69 190 Aaron Fuller's height is missing which of the following is the most reasonable solution. • StatementA. The best way to get this info would be to take an average of the other players heights. • Statement B. This information is most likely posted somewhere online we can probably get the exact value without estimating it. • Statement C. There is most likely a relationship between weight and height we could probably predict his height from his weight. Statement [Select ] B. Of the var and College which of the following issues do you see? I Select I Of the variables Age, Weight, Experience and College which of the following issues do you se • Age [Select) • Weight ISelect ] • Experience [Select] • College v [ Select] One cell has a missing value Everything looks good! There is an obvious typo. Data entry person entered a coded value for unknown

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Consider the following dataset of the Seattle Seahawks wide receivers for 2021 season.
NameNumber Position Age
Freddie Swain WR
Height (in) Weight (Ibs) Experience
College
2 Florida
14
72
199
Penny Hart
John Ursua
Tyler Lockett
Matt Cole
DK Metcalf
Cade Johnson WR
Cody Thompson WR
Aaron Fuller
Dee Eskridge
WR
25
68
2 Georgia State
2 Hawai
7 Kansas State
1 McKendree
180
WR
27
69
182
WR
29
70
182
WR
25
70
197
WR
24
76
999
3 Ole Miss
23
O South Dakota State
1 Toledo
1 Washington
o Western Michigan
70
184
25
74
205
WR
24
188
WR
24
69
190
Aaron Fuller's height is missing which of the following is the most reasonable solution.
• Statement A. The best way to get this info would be to take an average of the other players
heights.
• Statement B. This information is most likely posted somewhere online we can probably get the
exact value without estimating it.
Statement C. There is most likely a relationship between weight and height we could probably
predict his height from his weight.
Statement
[Select ]
B
C
Of the var
A
and College which of the following issues do you see?
I Select 1
Of the variables Age, Weight, Experience and College which of the following issues do you see?
• Age [Select ]
• Weight [Select )
• Experience [Select]
• College [Select ]
One cell has a missing value
Everything looks good!
There is an obvious typo.
Data entry person entered a coded value for unknown
Transcribed Image Text:Consider the following dataset of the Seattle Seahawks wide receivers for 2021 season. NameNumber Position Age Freddie Swain WR Height (in) Weight (Ibs) Experience College 2 Florida 14 72 199 Penny Hart John Ursua Tyler Lockett Matt Cole DK Metcalf Cade Johnson WR Cody Thompson WR Aaron Fuller Dee Eskridge WR 25 68 2 Georgia State 2 Hawai 7 Kansas State 1 McKendree 180 WR 27 69 182 WR 29 70 182 WR 25 70 197 WR 24 76 999 3 Ole Miss 23 O South Dakota State 1 Toledo 1 Washington o Western Michigan 70 184 25 74 205 WR 24 188 WR 24 69 190 Aaron Fuller's height is missing which of the following is the most reasonable solution. • Statement A. The best way to get this info would be to take an average of the other players heights. • Statement B. This information is most likely posted somewhere online we can probably get the exact value without estimating it. Statement C. There is most likely a relationship between weight and height we could probably predict his height from his weight. Statement [Select ] B C Of the var A and College which of the following issues do you see? I Select 1 Of the variables Age, Weight, Experience and College which of the following issues do you see? • Age [Select ] • Weight [Select ) • Experience [Select] • College [Select ] One cell has a missing value Everything looks good! There is an obvious typo. Data entry person entered a coded value for unknown
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