Overlays several rasters, multiplying each by their given weight and summing them together.
Notes
Input rasters can be integer or floating point.
The weight will be applied to the specified field for the input raster. Fields can be of type short or long integer, double, or float.
A useful way to add several rasters together is to input multiple rasters and set all weights equal to 1.
The weight values can be any positive or negative decimal value. It is not restricted to a relative percentage, nor does it need to be equal to 1.0.
Parameters
Parameter name  Description 

Weighted Sum Table  The weighted sum table is defined by three properties:

Cellsize Type  Choose which cell size to use in the output raster. If all the input cell sizes are the same, all the options will yield the same results.

Extent Type  Choose which extent should be used in the output raster:

Learn more about weighted sum
The Weighted Sum function provides the ability to weight and combine multiple inputs to create an integrated analysis. It is similar to the Weighted Overlay function in that multiple raster inputs, representing multiple factors, can be easily combined, incorporating weights or relative importance.
Weighted Sum works by multiplying the designated field values for each input raster by the specified weight. It then sums (adds) all input rasters together to create an output raster.
There are two major differences between these functions:
 The Weighted Sum function does not rescale the reclassified values back to an evaluation scale.
 The Weighted Sum function allows floatingpoint and integer values, whereas the Weighted Overlay function only accepts integer rasters as inputs.
By not rescaling the reclassified values back to the evaluation scale, the analysis maintains its resolution. For example, in a suitability model, if there are 10 input criteria that were reclassified to a scale of 1 to 10 (10 being the most favorable) and no weights were assigned, the values on the output from Weighted Sum could range from 10 to 100. For the same input, Weighted Overlay would normalize the 10to100 reclassified analysis range to the evaluation scale, for example, back to the 1to10 scale. Maintaining the model resolution in Weighted Sum can be useful when you want to identify only the top few favorable locations or a specified number of sites.
Note:
Combining multiple continuous data layers with different ranges is not always meaningful.
Generally, the values of continuous rasters are grouped into categories. For example, the various slope values can be grouped into flat, moderate, steep, and very steep. Each slope value can be assigned to one of these categories, and the category can be assigned a reclass value identifying the preference for the class relative to a criterion in the overlay analysis. The Remap function allows such rasters to be reclassified.
The Weighted Overlay function is used most commonly for suitability modeling and should be used to ensure correct methodologies are followed. The Weighted Sum function is useful when you want to maintain the model resolution or when floatingpoint output or decimal weights are required.