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| Topic: |
Business
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| Number of pages / Number of words: |
7 / 1937 |
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The regression results are as below:
(Gas consumption model without including V13)
From the above SPSS outputs, in the model summary, the value of R ? Square shows that "87.2% variability in the sampled mean natural gas usage per day for the month in therms is explained by mean monthly temperature in Bostin, in degree Fahrenheit by using regression model...
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Similarly from table 3, the p value for V3 is also less than 0.05 so it is also significantly related to our V4. From the above table, the following equation can be written for the modeling.
GAS PER DAY = 15.286 ? 0.216 TEMPERATURE
V4 = 15.286 ? 0.216 V3
"WITH 5% CHANCES OF BEING WRONG, WE HAVE SUFFICIENT EVIDENCE TO SAY THAT, WITH EVERY ONE FAHRENHEIT DECREASE IN MEAN MONTHLY TEMPERATURE IN BOSTIN THERE IS 0...
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