I have, I think, a simple question about multivariate statistics, and I'm not sure which test (or even what kind of test does this).
I have 40 items (replicates) THEY ARE NOT IN ANY PARTICULAR GROUPS. For each item I have tracked the prices each week for a year. So I have 52 measurements of each item. I expect the price of each item to fluctuate seasonally. I want to ask the simple question, "Does the price change over time?"
Because each measurement is not independent, I didn't think I should use ANOVA. I thought I should use MANOVA here, but I am a little confused, because there are no "treatments".
I am confident that the prices change over time. Next, I'll want to know when. Is there a post-hoc analysis to see when the prices tend to go up or go down. Again, I expect the prices to change seasonally.
I have 40 items (replicates) THEY ARE NOT IN ANY PARTICULAR GROUPS. For each item I have tracked the prices each week for a year. So I have 52 measurements of each item. I expect the price of each item to fluctuate seasonally. I want to ask the simple question, "Does the price change over time?"
Because each measurement is not independent, I didn't think I should use ANOVA. I thought I should use MANOVA here, but I am a little confused, because there are no "treatments".
I am confident that the prices change over time. Next, I'll want to know when. Is there a post-hoc analysis to see when the prices tend to go up or go down. Again, I expect the prices to change seasonally.