Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 79.5 Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people? E Click the icon to view the data. Data table ..... Find the equation of the regression line. 9-ロ+Ox (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) Internet Users Per 100 Nobel Laureates 79.3 5.6 80.6 24.4 The best predicted number of Nobel Laureates when the number of internet users per 100 is 79.5 is. (Round to one decimal place as needed.) 78.2 8.6 How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people? 45.3 0.1 83.5 6.2 O A. The best predicted value is very close to the actual Nobel Rate. 38.4 0.1 OB. The best predicted value is equal to the actual Nobel Rate. 89.6 25.6 89 7.6 OC. The best predicted value is not at all close to the actual Nobel Rate. 79.1 6. O D. The best predicted value is the opposite of the actual Nobel Rate. 82.9 12.7 53.4 1.9 77.3 12.6 56.9 3.3 79.3 1.5 93 11.4 94.5 25.7 64.6 3.1
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 79.5 Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people? E Click the icon to view the data. Data table ..... Find the equation of the regression line. 9-ロ+Ox (Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.) Internet Users Per 100 Nobel Laureates 79.3 5.6 80.6 24.4 The best predicted number of Nobel Laureates when the number of internet users per 100 is 79.5 is. (Round to one decimal place as needed.) 78.2 8.6 How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people? 45.3 0.1 83.5 6.2 O A. The best predicted value is very close to the actual Nobel Rate. 38.4 0.1 OB. The best predicted value is equal to the actual Nobel Rate. 89.6 25.6 89 7.6 OC. The best predicted value is not at all close to the actual Nobel Rate. 79.1 6. O D. The best predicted value is the opposite of the actual Nobel Rate. 82.9 12.7 53.4 1.9 77.3 12.6 56.9 3.3 79.3 1.5 93 11.4 94.5 25.7 64.6 3.1
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 79.5 Internet users per 100 people. How does it compare to the country's actual Nobel
Laureate rate of 1.5 per 10 million people?
E Click the icon to view the data.
Data table
Find the equation of the regression line.
y=ロ
(Round the constant to one decimal place as needed. Round the coefficient to three decimal places as needed.)
Internet Users Per 100
Nobel Laureates
79.3
5.6
80.6
78.2
24.4
The best predicted number of Nobel Laureates when the number of internet users per 100 is 79.5 is
(Round to one decimal place as needed.)
8.6
45.3
83.5
How does it compare to the country's actual Nobel Laureate rate of 1.5 per 10 million people?
0.1
6.2
A. The best predicted value is very close to the actual Nobel Rate.
38.4
0.1
89.6
89
B. The best predicted value is equal to the actual Nobel Rate.
25.6
7.6
O C. The best predicted value is not at all close to the actual Nobel Rate.
79.1
O D. The best predicted value is the opposite of the actual Nobel Rate.
82.9
53.4
12.7
1.9
77.3
12.6
56.9
3.3
79.3
1.5
93
11.4
94.5
25.7
64.6
3.1
57.9
1.9
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