The Official Journal of the Pan-Pacific Association of Input-Output Studies (PAPAIOS)
Table 2 Post-estimation tests of multiple linear regression model
From: Analysis of red pepper marketing: evidence from northwest Ethiopia
Problems | Types of test used to detect the problem | Status | ||
|---|---|---|---|---|
Heteroscedasticity | White’s test | Accept null hypothesis and no heteroscedasticity | ||
Ho: homoscedasticity against | ||||
Ha: heteroscedasticity | ||||
chi2 (63) = 46.50 | ||||
Prob > chi2 = 0.9408 | ||||
Omitted variables | Ramsey RESET test | Accept null hypothesis (Ho) and model has no omitted variables | ||
Ho: model has no omitted variables | ||||
F (3, 371) = 1.44 | ||||
Prob > F = 0.2319 | ||||
Multicollinearity | Variance inflation factor test | The value of VIF and CC was below 10 and 0.75. Therefore, there are no multicollinearity problems among explanatory variables used in multiple linear regression model | ||
Variables | VIF | Tolerance | ||
Land size | 1.81 | 0.5511 | ||
Output | 1.68 | 0.5944 | ||
Experience | 1.58 | 0.6333 | ||
Age | 1.49 | 0.6730 | ||
Market distance | 1.10 | 0.9082 | ||
Development distance | 1.07 | 0.9341 | ||
Log of farm income | 1.07 | 0.9350 | ||
Log selling price | 1.02 | 0.9792 | ||
Contingency Coefficient test | ||||
Variables | Credit | Extension | ||
Credit | 1 | 0.165 | ||
Extension | 0.165 | 1 | ||