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Presented in Table 2 above is the result of correlation among the expandatory variables of the study. The results indicate that the relationship between pairs of variables used as predictors is low and weak. The relatively strongest relationship between the variables was that of SIZE and DIST 1e., 43%. According to Baltagi (2005), multicollinearity exists if there is high correlation (ranging from 50% - 80%) among the independent variables in a model, which is a serious violation of least squares regression technique. Hence it can be concluded that there is no multicollinearity among the independent variables in the model estimated.

Table 2 Presented in Table 2 above is the result of correlation among the expandatory variables of the study. The results indicate that the relationship between pairs of variables used as predictors is low and weak. The relatively strongest relationship between the variables was that of SIZE and DIST 1e., 43%. According to Baltagi (2005), multicollinearity exists if there is high correlation (ranging from 50% - 80%) among the independent variables in a model, which is a serious violation of least squares regression technique. Hence it can be concluded that there is no multicollinearity among the independent variables in the model estimated.

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Table 3 presented the result of Hausman specification test to make a choice between random and fixed effect models. The null hypothesis for the Hausman test is that random effect model (REM) is appropriate. With the P-value of 0.4071 which is statistically insignificant; the null hypothesis is hereby accepted. Therefore, fixed effect model is considered inappropriate and random effect model is preferred and thus adopted for this study.
Table 3 presented the result of Hausman specification test to make a choice between random and fixed effect models. The null hypothesis for the Hausman test is that random effect model (REM) is appropriate. With the P-value of 0.4071 which is statistically insignificant; the null hypothesis is hereby accepted. Therefore, fixed effect model is considered inappropriate and random effect model is preferred and thus adopted for this study.
2017). Overall, the joint significance of all the variables in the model is brought to light by the F statistic of 721.29. Based on this, the null hypothesis that the predictor variables are not jointh significant can be rejected at 1% level of significance. Therefore, it can be concluded that firn size, profitability, growth, asset tangibility, and distress are significant factors affecting financia reporting quality of listed industrial goods firms in Nigeria. This study examined the determinants of financial reporting quality among the listed industrial goods firms in Nigeria. Data were gathered through a content analysis from annual reports and accounts of the sampled firms for the period 2010-2019. In term of joint significance of the model, the study found that firm size, profitability, growth, asset tangibility, and financial distress were to be significant determinants of financial reporting quality among listed industrial goods firms in Nigeria. As regards the specific variables, firm size and asset tangibility have positive influence while profitability and financial distress showed negative influence on financial reporting quality. Firm growth has no significant influence on financial reporting quality.
2017). Overall, the joint significance of all the variables in the model is brought to light by the F statistic of 721.29. Based on this, the null hypothesis that the predictor variables are not jointh significant can be rejected at 1% level of significance. Therefore, it can be concluded that firn size, profitability, growth, asset tangibility, and distress are significant factors affecting financia reporting quality of listed industrial goods firms in Nigeria. This study examined the determinants of financial reporting quality among the listed industrial goods firms in Nigeria. Data were gathered through a content analysis from annual reports and accounts of the sampled firms for the period 2010-2019. In term of joint significance of the model, the study found that firm size, profitability, growth, asset tangibility, and financial distress were to be significant determinants of financial reporting quality among listed industrial goods firms in Nigeria. As regards the specific variables, firm size and asset tangibility have positive influence while profitability and financial distress showed negative influence on financial reporting quality. Firm growth has no significant influence on financial reporting quality.
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Finance and bankingMicro and Small Business Entrepreneurship
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