Discuss GAQM CLSSBB-001 Exam Topic 4 Question 34

A valid Multiple Linear Regression (MLR) is characterized by all of these except _______________________.

AIt is an assumption that the X's (inputs) are not correlated to each other

BThe X's (inputs) are assumed to be independent of each other

CMLR is conducted based on a deliberate form of experimentation

DThe Residuals from MLR analysis have to be Normally Distributed

Suggested Answer: B

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39 comments · newest first

Cruz 11 months ago

B is correct, independence of inputs is key!

Adria 11 months ago

Wait, are the residuals really supposed to be normally distributed?

Sabra 11 months ago

C seems off to me, MLR doesn't always need experimentation.

Elli 12 months ago

I agree, the inputs can't be correlated.

Kattie 12 months ago

A is definitely a requirement for MLR.

Thora 12 months ago

I feel like I saw something about the X's needing to be independent in a practice test, but I might be mixing it up with correlation.

Mari 1 year ago

I practiced a question about residuals needing to be normally distributed, but I can't recall if that's a strict requirement for MLR validity.

Delsie 1 year ago

I think option C sounds off because MLR can be used in observational studies too, not just experiments.

Janey 1 year ago

I remember that MLR assumes the inputs should be independent, but I'm not sure if that's the same as saying they're not correlated.

Paz 1 year ago

Wait, I'm not sure about this. Aren't the inputs supposed to be uncorrelated? I'm going to have to review my notes on the MLR assumptions again before answering this.

Ozell 1 year ago

Okay, I've got it. The key is that MLR doesn't require a deliberate form of experimentation, unlike some other regression techniques. I'm confident that's the right answer.

Alise 1 year ago

Hmm, I'm a bit confused on this one. I thought the residuals had to be normally distributed, but the options say that's not the case. Let me think this through again.

Raylene 1 year ago

This one seems straightforward. I'm pretty sure the answer is that MLR doesn't require the inputs to be independent of each other.

Ryann 1 year ago

I've got a good handle on the main advantages of low-code automation. I'll make sure to select the most relevant options that align with the question.

Verona 1 year ago

I'm a little confused about the gastroesophageal reflux disease and how that might impact the primidone. I'll need to research that interaction more before deciding on the best course of action.

Carmela 1 year ago

No problem, this is a classic inflation adjustment question. I'll just need to be careful with the calculations to make sure I get the right answer.

Howard 1 year ago

Hmm, I'm a bit confused on the differences between these two models. I'll need to review my notes to make sure I understand the concepts before attempting to answer this.

Maile 1 year ago

I remember we discussed that the Runtime Resource needs to be started for it to process anything, but I'm not entirely sure about the network connectivity part.

Huey 1 year ago

I'm pretty sure the answer is B, Truth in Lending, since that's the regulation that covers disclosure requirements for adjustable-rate mortgages.

Theresia 1 year ago

Wait, you're telling me that MLR doesn't require the inputs to be independent? That's news to me! Option B must be the right answer then.

Pearlene 1 year ago

↳ replying to Theresia

MLR is all about making sure the inputs are not correlated to each other.

An 1 year ago

↳ replying to Theresia

That's right. It's one of the key assumptions in Multiple Linear Regression analysis.

Margot 1 year ago

↳ replying to Theresia

Yes, you're correct. MLR assumes that the X's are independent of each other.

Olive 1 year ago

Haha, this question is a piece of cake! Everyone knows that the inputs in MLR can't be correlated. Option A is clearly the correct answer.

Stephen 1 year ago

↳ replying to Olive

Exactly, having correlated inputs can lead to multicollinearity issues in the regression analysis.

Georgene 1 year ago

↳ replying to Olive

That's right, if the inputs are correlated, it violates one of the assumptions of MLR.

Ollie 1 year ago

↳ replying to Olive

I agree, option A is the correct answer. The inputs in MLR should not be correlated.

Corinne 2 years ago

Hmm, I thought MLR was all about the deliberate manipulation of the inputs to see their effect on the output. Option C seems like the answer to me.

Elvera 1 year ago

↳ replying to Corinne

User 2: Yeah, MLR is more about analyzing the relationship between inputs and output, not necessarily through deliberate experimentation.

Altha 1 year ago

↳ replying to Corinne

User 1: I think you're right, option C does seem like the odd one out.

Dahlia 2 years ago

I'm not sure about the answer, but I know that the residuals should be normally distributed for the model to be valid. Option D looks like the odd one out.

Delisa 1 year ago

↳ replying to Dahlia

Thanks for clarifying that, now I understand the concept better.

Tequila 1 year ago

↳ replying to Dahlia

So, the correct answer is D, the Residuals from MLR analysis have to be Normally Distributed.

Blondell 1 year ago

↳ replying to Dahlia

I agree, the residuals being normally distributed is a key aspect of MLR.

Lacresha 2 years ago

↳ replying to Dahlia

I think you're right, option D does seem out of place.

Aleta 2 years ago

Option B seems like the correct answer here. The inputs in a valid MLR model should be independent of each other, not correlated.

Juan 2 years ago

But doesn't MLR assume that the residuals are Normally Distributed?

Matt 2 years ago

I disagree, I believe the answer is D.

Juan 2 years ago

I think the answer is C.

GAQM CLSSBB-001 Exam - Topic 4 Question 34 Discussion