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?
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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
...