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Databricks Exam Databricks Certified Professional Data Scientist Topic 5 Question 76 Discussion

Actual exam question for Databricks's Databricks Certified Professional Data Scientist exam
Question #: 76
Topic #: 5
[All Databricks Certified Professional Data Scientist Questions]

Which of the following statement is true for the R square value in the regression model?

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Suggested Answer: C

by Luz at Dec 05, 2024, 06:03 PM

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Soledad
2 months ago
Hey, I've got a great idea – let's add a million variables to the model and get that R-squared up to 99.99%! Residuals? Who needs 'em?
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Dyan
2 days ago
Yeah, R square can be inflated by adding unnecessary variables.
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Leila
8 days ago
That's not how it works. Adding more variables doesn't always increase R square.
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Kenny
2 months ago
Higher R-squared means lower residuals? Well, duh. Isn't that the whole point of regression modeling? This question is making me feel like I'm back in kindergarten.
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Marshall
1 months ago
It's all about minimizing those residuals to get a good fit.
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Cecily
1 months ago
Adding more variables can definitely help increase the R-squared value.
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Alesia
2 months ago
Exactly! The higher the R-squared, the better the model fits the data.
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Rodrigo
2 months ago
Ah, I see what they're getting at with the 'R-squared never decreases' bit. But adding more variables just to boost R-squared? That's a rookie move, my dude.
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Nobuko
18 days ago
True, it's important to strike a balance between improving R square and maintaining the model's reliability.
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Emilio
24 days ago
Yeah, focusing solely on increasing R square without considering the impact on the model's accuracy is not ideal.
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Reyes
1 months ago
Adding more variables can increase R square value, but it may not always be the best approach.
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Fannie
2 months ago
Hah, all the residuals equal to 1 when R-squared is 0? Sounds like someone needs to go back to Stats 101. Let's move on to the next question.
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Sueann
13 days ago
Let's move on to the next question.
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Layla
22 days ago
R square never decreases when adding more independent variables.
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Micaela
1 months ago
Higher R square value means lower residuals.
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Cassi
2 months ago
Adding more variables can increase the R square value.
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Vincenza
3 months ago
Wait, what? R-squared can't be 1 and have all residuals equal to 0. That's just not how it works. This question is tripping me up.
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Dacia
2 months ago
Higher R square value can lead to lower residuals.
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Asuncion
2 months ago
Adding more variables to the model can increase the R square value.
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Arlette
3 months ago
That makes sense, adding more variables can increase the R square value.
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Chaya
3 months ago
I disagree, I believe the correct statement is C) R square can be increased by adding more variables to the model.
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Arlette
3 months ago
I think the correct statement is A) When R square =1 , all the residuals are equal to 0.
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