Is it? The wikipedia article says that regression dilution occurs when errors in the x data bias the computed regression line.
But the stackexchange question is asking why an unbiased regression line doesn't lie on the major axis of the 3σ confidence ellipse. This lack of coincidence doesn't require any errors in the x data. https://stats.stackexchange.com/a/674135 gives a constructed example where errors in the x data are zero by definition.
Yes but no: The original device operates in the 868MHz band, which is a ISM band in the EU. However this band isn't availabe for public use in the US (IIRC some mobile phone cells operate in that band) - so the original thermostat is already illegal to sell/buy/use in the US.
If you bought such a thermostat in the US (e.g. at walmart or what-do-I-know), that device would probably operate on 433 or 915 MHz. I think you can legally broadcast on these in the US, much like the OP did [in the UK]. Power limits might be a bit different and such. But IANAL and no US person, so do some research before grabbing a HackRF One ;-)
As others have pointed out, tkinter is just a wrapper around Tk, so the best way to learn more about it is to learn about Tk. The documentation for Tk [1] is fairly comprehensive: for example, the algorithm used by the `pack` command that you asked about is explained here: [2].
It's definitely worth learning at least some very basic Tcl if you want to get as much as possible out of tkinter - sometimes you end up having to use `widget.tk.eval()` to use a Tk feature that tkinter doesn't provide a good wrapper for.
A better way to organise and find papers I've looked at before. For example, being able to ask an LLM "what was that paper again that tried using X to solve Y but ran into some issue" which I vaguely remember skimming a month ago but only just realised that it might actually be useful to me, and it will find the right one from my reference manager and/or subset of my browser history.
There's a few projects that can package a python environment into a single executable (the main tradeoff is you end up including a copy of python with every single executable if you have lots of tools) - when I wanted it to create an installer (.msi/.dmg), I've found cx_Freeze came the closest to "it just works".
Of all things, rowing. It's a way to force myself to keep a consistent exercise routine because others depend on me to show up for each session, and given that my club has active members who are decades older than myself, I expect to continue doing it for as long as I can. It's especially great in a coxed boat with an experienced cox, it feels like the microphone wire is plugged directly into your brainstem so you completely outsource your executive functioning for two hours and respond to every call without even consciously parsing it.
And if you're after an adrenaline rush, a close race can teach you a whole new meaning of maximum heart rate.
I only gained an appreciation for ruler and compass constructions early in secondary school, at age 7 I'm not sure I could fully understand the beauty of deriving a huge system from axioms.
For making Euclid interesting to children, I remember really enjoying a game called Euclidea: https://www.euclidea.xyz/
Awesome. No.3 is super critical. Cross Platform is tough if solo or bootstrapping. Thinking about a mac client for v 1. And then perhaps a cross platform if mac app is able to scale.
Something about the way the text got more and more glitched while keeping the rhythm of the sentences intact made me want to keep reading. I think it managed to create the perfect amount of entropy that makes it feel like there could be a meaning in there, just barely out of reach, rather than feeling completely random.
reply