X1, X4, X5, and X2: Coefficients Intercept X1 X4 X5 X2 X1, X4, and X5 Coefficients Intercept X1 X4 X5 P-values suggest all three variables (X1, X2 and X5) are significant X1, X4, and X3 Coefficients Intercept X1 X4 X3 Step 3: 3-variable regressions with X1 and X4 X1, X4, and X2 Coefficients Intercept X1 X4 X2 Model with X4 and X1 has the lowest p-values. Lowest p-value is X4 Do 2-variable regressions with X4 There is low Significance F, but 2 of the p-values are high. GO TO STEP 4 and continue this process.Įxample Here is the printout from a model of Y vs. If one or more of the 3-variable models gives low p-values for X3, X5 and the third variable, select the model with the lowest p-values. If none of the 3-variable regressions gives low p-values for each of X3, X5, and the other variable - STOP - use the model utilizing only X3 and X5. Step 3: Do all possible 3-variable regressions in which two of the three variables are X3 and X5. (Suppose it is the one with X3 and X5.) - GO TO STEP 3. If one or more of the 2-variable models gives low p-values for both X3 and the second variable, select the model with the lowest p-values.
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If none of the 2-variable regressions gives low p-values for both X3 and the other variable - STOP - use the model utilizing only X3.
![stepwise regression excel stepwise regression excel](https://i.ytimg.com/vi/icipgz8T7dw/maxresdefault.jpg)
(Suppose it is X3.) Step 2: Do all possible 2-variable regressions in which one of the two variables is X3. Select the x variable with the lowest p-value. But if Significance F is low, but one or more of the p-values for the ttests are high, forward stepwise regression can be used to develop the best model that contains some of the variables as follows. If all variables are shown as significant (P-values < ), then STOP - the complete model is good. STEPWISE REGRESSION Sumber: Begin by performing a normal multiple regression.