Test statistics should always be shown. Chi-squared is a common test statistic. Many samples, each of 100 observations, are drawn from a population in which there is a correlation of 0.70 between two variables. Differences between all groups are substantial. Log transformation appears to be necessary before analysis.
Runners are lazier than cyclists.
Use it to control for the effect of numeric variables. It gives misleading results for highly correlated independent variables. Use it to fit multiple straight lines with several groups. The time effect in the model is substantial. The time effect in the model is significant.