ANOVA, Linear Models, or something else?

I'm a rookie in statistics, but just wrapped up a semester of R analysis for natural resources. I'm working on my grad capstone and hoping I might be able to get some help generating ideas for worthwhile analysis to answer the following questions:

****Changes in Run Timing**** I don't have any effect for this question, but just wanting to show how the timing of the fish run has changed from the start of a project to current times. My data is based off of trapping. I was thinking of determining the peak annually, then doing an ANOVA or Linear Model. Is there a better way of doing this?

****Changes in fork lengths**** I have fork length data for multiple rivers over a 15 year period. I wanted to analyze how hatchery or wild status predicts lengths. Are hatchery fish smaller/longer than wild? I had thought to find the mean fork length for fish annually both by sex and hatchery/wild status, then do ANOVA or Linear Model. Is there a better way of analyzing?

****Changes in Age Structure**** Through field sampling, I have scale analysis results telling me the age structure of each year's spawners. Similar to fork lengths, how has this changed over time, and specifically, as an effect of wild/hatchery status and sex.

Any help is much appreciated! Just looking for some ideas because while I really enjoyed ANOVA/regression analysis, I'm sure there are some much better ideas for these questions.

Thanks!

• Are you interereted in Anova or regression ? Jun 19 '17 at 12:21
• Either or, just trying to figure out which analysis would make the most sense in this case. Jun 20 '17 at 4:05
• One-way Anova should be a good option for your issues - fork length and age-structure presuming that you are not interested in a single complete model. Jun 20 '17 at 5:28
• Thank you. A 1-way ANOVA makes sense for those. I was also contemplating a 3-way ANOVA to look at what is a better predictor on fork length - sex, mark status, or age. Jun 21 '17 at 1:23
• what is matk status ? Jun 21 '17 at 5:39