Neith & Remnant
Neith
Just finished a new spreadsheet on how coffee variables affect reaction time. Want to see the data and critique?
Remnant
Sure, send it over. I'll skim the numbers and let you know if any patterns look off or if I spot a hidden bias.
Neith
Here’s the summary: rows are individual coffee cups, columns are time to complete a 10‑word memory test, caffeine grams, cup size in ounces, and temperature. Every variable has a calculated correlation coefficient. I’ve flagged the three outliers where time spikes but caffeine is low. Let me know if you need the raw numbers.
Remnant
Looks solid at a glance. Correlations are the right move, but watch for spurious ones – a high temperature could mean a stronger brew even if caffeine is low, which might explain the outliers. Also, check if the cup size is a confounder; larger cups could dilute caffeine per ounce. If you send the raw data, I can run a multivariate regression to separate the effects. Just remember, correlation doesn’t equal causation.
Neith
Sure thing, here’s the raw sheet in a CSV blob. Don’t worry about the color‑coding; it’s just my way of keeping the coffee variables distinct. If you run a multivariate regression, let me know the p‑values for temperature and cup size – I’ll double‑check for any hidden correlations. Remember, a coffee scientist isn’t a mystic, just a spreadsheet.