Eine multiple Regressionsanalyse ergab, dass die

Using this phrase is like building a Lego set. You start with the phrase Eine multiple Regressionsanalyse ergab, dass die... and then you must follow it with a subordinate clause. Because of that tricky word dass, your verb is going to take a little trip to the very end of the sentence. For example: ...dass die Verkaufszahlen gestiegen sind. (that the sales figures have increased). You’ll mostly see this in the 'Ergebnisse' (Results) section of a thesis or a white paper. It acts as a bridge. It connects the boring work you did in Excel to the exciting conclusion you want everyone to believe. Pro tip: pair it with a serious facial expression. If you smile too much while saying it, people might suspect your p-values are shaky. Statistics is serious business, after all!

This phrase is so formal it probably wears a tuxedo to bed. You are firmly in the very_formal territory here. You will almost never hear this at a bar, unless it’s a very specific bar next to a Max Planck Institute. It belongs in written reports, academic journals, and high-level business presentations. If you use this in a WhatsApp group about your weekend plans, your friends will probably reply with a '?' or a nerd emoji. However, in a job interview at a tech company or a research lab, it’s like music to the interviewer's ears. It shows you understand 'Wissenschaftssprache' (the language of science). It’s the opposite of slang. It’s calculated, cold, and incredibly professional. It’s the high-heeled shoe of phrases—impressive to look at, but you wouldn't want to wear it while hiking.

Imagine you're scrolling through a PDF on ResearchGate. You’ll see this phrase lurking in the 'Abstract.' Or perhaps you're watching a German news segment about a new economic study. The news anchor might use it to explain why inflation is acting weird. In a corporate Zoom meeting, the data analyst might drop this to explain why the new marketing campaign failed. Even on LinkedIn, you might see a 'Thought Leader' post a chart with this caption to look more credible. It’s the gold standard for reporting findings in German. It’s even used in Netflix documentaries when they interview a German sociologist about social media trends. If there's a chart involved, this phrase isn't far behind. It’s the ultimate 'trust me, I’m an expert' starter pack.

Use this when you have actual data to back you up. It’s perfect for the 'Methodology' or 'Results' sections of any university paper. If you’re writing a B2 or C1 German exam (like TestDaF or Goethe), throwing this in will make the examiner's day. It proves you can handle complex sentence structures and high-level vocabulary. It’s also great for professional emails where you need to justify a decision based on analytics. If your boss asks why the conversion rate is down, starting your answer with this phrase makes you look proactive and analytical. It’s for moments when you want to be taken 100% seriously. It’s the linguistic version of 'dropping the mic'—but with a very heavy, data-filled mic.

Do NOT use this for simple observations. If you noticed it rained because your shoes are wet, don't say Eine multiple Regressionsanalyse ergab... unless you're being extremely sarcastic. Also, avoid it in casual conversations. Saying this to your date to explain why you like Italian food is a great way to ensure there isn't a second date. It’s also risky if you don’t actually know what a regression analysis is. If someone asks follow-up questions about your 'coefficients' or 'standard errors' and you blank out, you’ll look like a 'Hochstapler' (imposter). Finally, avoid it in creative writing or poetry. It has the poetic grace of a brick. Keep it in the lab where it belongs.

The most common slip-up is the 'Comma Crisis.' In German, you MUST put a comma before dass. If you leave it out, your sentence falls apart. Another classic is using the wrong gender for Regressionsanalyse. It’s die, always. Some learners say ✗ Ein multiple Regressionsanalyse → ✓ Eine multiple Regressionsanalyse. Watch out for the verb ergab too. It’s the Präteritum (simple past) of ergeben. Don't say ✗ ergibt if you're talking about a study that’s already finished. Also, don't confuse it with ✗ zeigte (showed). While zeigte is okay, ergab sounds much more like the result was 'produced' or 'yielded' by the math itself. It’s a subtle flex. Lastly, make sure you don't forget the e at the end of multiple—it’s an adjective that needs to agree with the feminine noun.

If you want to spice things up, you can use Die Ergebnisse der Regressionsanalyse verdeutlichen, dass... (The results of the... clarify that...). Or, if you want to be even more precise, you could say Eine multivariate Regressionsanalyse führte zu dem Schluss, dass... (A multivariate... led to the conclusion that...). For a slightly softer touch, try Die Regressionsrechnung legt nahe, dass... (The regression calculation suggests that...). This is useful if your results aren't 100% certain. In business, you might hear Datenanalysen haben gezeigt, dass... (Data analyses have shown that...). It’s the 'diet' version of our phrase. If you're feeling particularly fancy, use signifikant (significant). For example: ...ergab einen signifikanten Zusammenhang. (yielded a significant correlation). Each variation changes the 'strength' of your claim, so choose wisely!

Is this phrase only for math? Not exactly! It’s for any field that uses statistics, like sociology, psychology, or marketing. As long as you have variables, you can have a regression. Can I use it in the present tense? Yes, you can say ergibt, but usually, we report results in the past because the analysis is done. Is it 'multiple' or 'multipler'? It depends on the case. In our phrase, it's nominative feminine: eine multiple. If you said nach einer, it would be nach einer multiplen. German grammar never sleeps! Does it sound arrogant? In a professional context, no. It sounds competent. In a bakery, yes, it sounds like you're trying too hard to get a free croissant. What if I only had one variable? Then it's just a lineare Regressionsanalyse. Drop the multiple and keep your integrity intact!