Country Consumption per capita Paper Consumptions (kg/1000 people) Fish consumption (kg) Oil consumption 1000 barrels/day Japan 19700 76892 158.7 5454 Portugal 5570 24126 132.7 277 United States 16500 84579 47 17033 Venezuela 2090 6860 31.1 430 Greece 4490 15641 42.1 331 Italy 10790 43098 44.3 1936 Norway 13400 41575 90.6 183 United Kingdom 9040 52355 43.9 1803 Philippines 640 940 76.3 235 Based on these data, multiple regression model equations can be obtained to predict per capita consumption which is influenced by paper consumption, fish consumption and fuel oil consumption. From Microsoft Excel processing, the following data are obtained: a. How strong is the relationship! b. What is the coefficient of determination! c. How is the hypothesis test (H0 and alternative hypothesis) of the model whole!
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
Country |
Consumption per capita |
Paper Consumptions (kg/1000 people) |
Fish consumption (kg) |
Oil consumption 1000 barrels/day |
Japan |
19700 |
76892 |
158.7 |
5454 |
Portugal |
5570 |
24126 |
132.7 |
277 |
United States |
16500 |
84579 |
47 |
17033 |
Venezuela |
2090 |
6860 |
31.1 |
430 |
Greece |
4490 |
15641 |
42.1 |
331 |
Italy |
10790 |
43098 |
44.3 |
1936 |
Norway |
13400 |
41575 |
90.6 |
183 |
United Kingdom |
9040 |
52355 |
43.9 |
1803 |
Philippines |
640 |
940 |
76.3 |
235 |
Based on these data, multiple regression model equations can be obtained to predict per capita consumption which is influenced by paper consumption, fish consumption and fuel oil consumption. From Microsoft Excel processing, the following data are obtained:

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