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Table 3 Correlation matrix of the independent variables with outcome variable

From: Determinants that influence the performance of women entrepreneurs in micro and small enterprises in Ethiopia

Variables WEP AGE EDUL PREEXP MARS ACCF ACCMR ACCBUTR LANOWN PHINFRA GOVTSUP TAX ACCBINF
WEP 1 .109 .160a .207b .006 .087 .071 .260b .057 .052 .189a .123 .155a
AGE   1 − .079 − .040 .025 − .035 .033 − .036 − .095 − .163a .054 .063 − .135
EDUL    1 .018 − .094 − .056 .186a − .016 − .148a .015 − .071 .038 .067
PREEXP     1 .302b .258b .289b .037 − .156a − .210b − .096 − .186a .208b
MARS      1 .242b .362b − .185a − .162a − .194b .042 − .121 − .003
ACCF       1 .298b − .136 − .279b − .154a − .079 .052 .255b
ACCMR        1 − .155a − .333b − .207b − .194b − .071 .038
ACCBUTR         1 .150a .188a .182a − .080 .239b
LANOWN          1 .222b .119 .044 − .039
PHINFRA           1 .087 − .137 − .126
GOVTSUP            1 − .164a .046
TAX             1 − .156a
ACCBINF              1
  1. WEP women entrepreneurs’ performance, AGE age of the respondents, EDUL educational level of the respondents, PREEXP previous entrepreneurial experience of the respondents, MARS marital status of the respondents, ACCF access to finance, ACCMR access to market for products, ACCBUTR access to business training, LANOWN land ownership, PHINFRA physical infrastructure access, GOVTSUP government support, TAX levied tax, ACCBINF access to business information
  2. Source: survey result, 2020
  3. aCorrelation is significant at the 0.05 level (2-tailed)
  4. bCorrelation is significant at the 0.01 level (2-tailed)