RESIDUAL SUM OF SQUARES - RSS
A statistical technique used to measure the amount of variance in a data set that is not explained by the regression model. The residual sum of squares is a measure of the amount of error remaining between the regression function and the data set. A smaller residual sum of squares figure represents a regression function which explains a greater amount of the data.
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Time | Country | Indices | Period |
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02:00 | MI Inflation Gauge | Mar | |
02:00 | ANZ Business Confidence | Mar | |
02:30 | Private Sector Credit | Feb | |
03:30 | PMI Manufacturing | Mar | |
03:30 | Non-Manufacturing PMI | Mar | |
07:00 | Housing Starts | Feb | |
08:00 | Retail Sales | Feb | |
08:00 | Import Price Index | Feb | |
10:30 | Mortgage Approvals | Feb |