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