The data in the table to the right represent the calories and sugar (in grams) in one serving of seven different types of breakfast cereals.
a. Compute and interpret the coefficient of correlation, r.
b. At the 0.05 level of significance, is there a significant linear relationship between calories and sugar?
Product | Calories | Sugar |
Cereal 1 | 76 | 7 |
Cereal 2 | 95 | 2 |
Cereal 3 | 99 | 4 |
Cereal 4 | 106 | 3 |
Cereal 5 | 131 | 5 |
Cereal 6 | 189 | 10 |
Cereal 7 | 199 | 11 |
from above:
a) r =0.800 , indicates a positive correlation
b)
option B is correct
test statistic t =2.98
p value =0.031
reject HO tehre is sufficient evidence at the 0.05 level,,,,,,,,,,,
The data in the table to the right represent the calories and sugar (in grams) in...
The data in the table to the right represent the calories and sugar (in grams) in one serving of seven different types of breakfast cereals. a. Compute and interpret the coefficient of correlation, r. b. At the 0.05 level of significance, is there a significant linear relationship between calories and sugar? Product Calories Sugar Cereal 1 8585 66 Cereal 2 9797 22 Cereal 3 102102 55 Cereal 4 108108 33 Cereal 5 135135 33 Cereal 6 186186 1212 Cereal 7...
The data in the table to the right represent the calories and sugar (in grams) in one serving of seven different types of breakfast cereals. a. Compute and interpret the coefficient of correlation, r. b. At the 0.05 level of significance, is there a significant linear relationship between calories and sugar? Product Calories Sugar Cereal 1 80 7 Cereal 2 98 3 Cereal 3 95 3 Cereal 4 109 3 Cereal 5 126 5 Cereal 6 194 12 Cereal 7 ...
The data in the table to the right represent the calories and sugar (in grams) in one serving of seven different types of breakfast cereals. a. Compute and interpret the coefficient of correlation, r. b. At the 0.05 level of significance, is there a significant linear relationship between calories andsugar? Product Calories Sugar Cereal 1 77 7 Cereal 2 102 2 Cereal 3 103 4 Cereal 4 110 4 Cereal 5 125 4 Cereal 6 186 10 Cereal 7 198 ...
The following data represent the calories and sugar, in grams, of various breakfast cereals. Product A B с D E F G Calories 260 380 390 410 460 540 590 Sugar 8.7 5.1 21.5 21.4 16.5 22.3 24.2 Use the data above to complete parts (a) through (d). a. Compute the covariance. 742.000 (Round to three decimal places as needed.) b. Compute the coefficient of correlation. r= 0.690 (Round to three decimal places as needed.) c. Which do you think...
A survey found that social networking is popular in many nations
around the world. Data was collected on the level of social media
networking (measured as the percent of individuals polled who use
social networking sites) and the GDP per capita based on
purchasing power parity (PPP) for 24 countries. Complete parts
(a) through (c).
Country GDP (PPP) Social media usage
(%)
1 18,082 67
2 15,829 58
3 6118 47
4 6551 44
5 9942 41
6 15,270 41...
A survey found that social networking is popular in many nations around the world. Data was collected on the level of social media networking (measured as the percent of individuals polled who use social networking sites) and the GDP per capita based on purchasing power party (PPP) for 24 countries. Complete parts (a) through (c) Click the icon to view the data table a. Compute and interpret the coefficient of correlation, The coefficient of correlation, r = indicates (1) -...
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A researcher developed a regression model to predict the tear rating of a bag of coffee based on the plate gap in bag-sealing equipment. Data were collected on 32 bags in which the plate gap was varied. An analysis of variance from the regression showed that by = 0.7427 and Son = 0.2396. a. At the 0.05 level of significance, is there evidence of a linear relationship between the plate gap of the bag-sealing...
The test statistic is...............(Round to two decimal places
as needed.)
The P-value is.......................(Round to three decimal
places as needed.)
The test statistic t is ..................
(Round to three decimal places as needed.)
The P-value is.............................(Round to three
decimal places as needed.)
The P-value for this hypothesis test is
0.2300.230.
(Round to three decimal places as needed.)
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Listed below are annual data for various years. The data are weights (metric tons) of imported lemons and car crash fatality rates per 100,000 population. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value using a = 0.05. Is there sufficient evidence to conclude that there is a linear correlation between lemon imports and crash fatality rates? Do the results suggest that imported lemons cause car fatalities? Lemon Imports 230 266 359 483...