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| Topic: |
Business
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| Number of pages / Number of words: |
6 / 1621 |
Essay's paper body
Using past data on CoffeeTime's weekly revenues, weekly advertising expenditure, price index (last 24 week period), estimate on Quick Brew's weekly advertising expenditure, and input for Laura Jones, build an optimal multiple regression model.
Regression Selection and Results:
Run 1
Build a multiple regression model for predicting weekly revenues
CoffeeTime's weekly advertising expenditure _x_ Normal (X1) _x_ Lagged (X4)
CoffeeTime's price index _x_ Normal (X2) _x_ Lagged (X5)
Estimates on Quick Brew's weekly advertising expenditure _x_ Normal (X3) _x_ Lagged (X6)
Regression Statistics
Multiple R 0...
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It was also offered that when there is a high degree of correlation between two variables if is good the remove one, therefore the value X3: 0.657 should be removed since it is the one that is correlated with a greater number of independent variables in the model.
2. Using financial information in the trade off matrix to conduct a hypothesis testing and the Z-statistic as applied to proportions in order to determine whether 30% of the population would like the sandwiches...
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