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Mathematics, 25.12.2019 04:31 rbajaj9818
The standard error of the regression:
a. is based on squared deviations from the regression line.
b. may assume negative values if b1 < 0.
c. is in squared units of the dependent variable.
d. may be cut in half to get an approximate 95 percent prediction
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The standard error of the regression:
a. is based on squared deviations from the regression...
a. is based on squared deviations from the regression...
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