Description
- Make a scatterplot of the McDonald's Nobel Prize data using McDonald's Count vs. Nobel Prize Count.
- Display the equation of the trend line of the data along with the R-squared value.
- Looking at the R-Squared Value, Does this seem to be a good fit according to your R-squared value?
- Is there an outlier in the data, what happens if you remove the outlier?
- Do you really think the number of McDonald's in a country has anything to do with the number of Nobel Prizes that country earns? Is there another factor that is probably causing this instead of Mcdonald's?
Unformatted Attachment Preview
Country
Nobel Prize Count McDonald's Count
Australia
6
701
Austria
11
148
Belgium
9
64
Canada
10
1154
Czech Republic
2
60
Denmark
13
99
Finland
2
93
France
49
857
Germany
77
1091
Greece
2
48
Hungary
3
76
Iceland
1
3
Ireland
5
62
Italy
14
290
Japan
12
3598
Luxembourg
0
6
Mexico
2
205
Netherlands
15
205
New Zealand
0
149
Norway
8
55
Poland
5
181
Portugal
2
91
Slovakia
2
10
South Korea
1
243
Spain
6
276
Sweden
30
227
Switzerland
22
119
Turkey
0
133
United Kingdom
100
1115
United States
270
12804
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Explanation & Answer
View attached explanation and answer. Let me know if you have any questions.I based the answer to question 3 on the usual assumption that an R^2 value greater than 0.8 is a strong correlation.
Australia
Nobel Prize CountMcDonald's Count
6
701
Austria
11
148
Belgium
9
64
Canada
10
1154
2
60
13
99
Finland
2
93
France
49
857
Germany
Czech Republic
Denmark
77
1091
Greece
2
48
Hungary
3
76
Iceland
1
3
Ireland
5
62
Italy
14
290
Japan
12
3598
Luxembourg
0
6
Mexico
2
205
Netherlands
15
205
New Zealand
0
149
Norway
8
55
Poland
5
181
Portugal
2
91
Slovakia
2
10
South Korea
1
243
Spain
6
...
Review
Review
Anonymous
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