ANOVA or analysis of variance is a very useful tool to check how well model fits data. In above table, the df is number of dependent variables in regression model i.e. 3 which are food satisfaction, sanitary satisfaction, and satisfaction on patient caring and management. The F value is significant at 151.672 and significance level of .000 implies that linear regression model fits with data as significance level is below 0.05 level.

The significance or p- value below 0.05 indicates that it is 95% confident that slope of linear regression is not zero and linear relationship between dependent and independent variables is significant. Hence, F- value is significant at 151.672 and p- value of .000 implies that linear regression model fits data.

Table 4: Summary of coefficients