Examples of using Regression output in English and their translations into French
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Table 11.8 contains the regression output.
Regression: Output variable is a real value.
The summary of your regression output will appear where designated.
You will also need to request the coefficient covariance matrix as part of the regression output.
Table 11.9 shows the regression output for adjacent years 2007 and 2008.
The regression output for the relevant policy variables is presented in Table 12 and leads to the following conclusions.
Once the classical PLS regression outputs have been displayed, the specific PLS discriminant analysis outputs are displayed.
Regression output like that presented in Box 5 also gives information on the way a regression has been specified.
Table B1: BDC regression output explaining the quarterly percentage change in bank loans to small businesses, 1996-2012.
Table 3: Regression output explaining the quarterly percentage change in bank loans to medium-sized businesses, 1988-2012 Variable Coefficient.
Table 5: Regression output explaining the quarterly percentage change in bank loans to SMEs-beta coefficients, 1996-2012 Coefficient Probability.
This table in the regression output provides further information concerning the proportion of variation in Y accounted for by the model.
Table 5: Regression output explaining the quarterly percentage change in bank loans to SMEs-beta coefficients, 1996-2012* Significant at the 10-percent level.
According to the above regression output, the price of pisco, whisky, wine and beer together with consumer income explain 96 per cent of observed variation in the demand for pisco.
Table B3: BDC regression output explaining the quarterly percentage change in bank loans to large businesses, 1996-2012(HAC standard errors and covariance) Variable Coefficient.
Table 4: Regression output explaining the quarterly percentage change in bank loans to large businesses, 1988-2012* Significant at the 10-percent level,** significant at the 5-percent level,*** significant at the 1-percent level.
Table B1: BDC regression output explaining the quarterly percentage change in bank loans to small businesses, 1996-2012* Significant at the 10-percent level,** significant at the 5-percent level,*** significant at the 1-percent level.
Table B3: BDC regression output explaining the quarterly percentage change in bank loans to large businesses, 1996-2012(HAC standard errors and covariance)* Significant at the 10-percent level,** significant at the 5-percent level,*** significant at the 1-percent level.
Regression testing output.
Table 2: Output of the regression.
In k-NN regression, the output is the property value for the.
The weights are nominal value added for the regression on value-added based multifactor productivity, and nominal gross output for the regression on gross-output based multifactor productivity.
But when both the demand andsupply cuves are subject to random fluctuations the regression of output on price is neither the demand curve nor the supply curve.
On the other hand, if demand is subject to random fluctuations and the supply curve remains fixed then each market equilibrium combination of price andoutput will lie on the supply curve and consequently a regression of output on price will give us the supply curve.