Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions
Mail Us support@pass4success.com
Location US
Mob_nav_barsMENU

IASSC Exam ICGB Topic 6 Question 40 Discussion

Actual exam question for IASSC's ICGB exam
Question #: 40
Topic #: 6
[All ICGB Questions]

Multiple Linear Regressions (MLR) is best used when which of these are applicable? (Note: There are 3 correct answers).

Show Suggested Answer Hide Answer
Suggested Answer: B

by Gary at Feb 24, 2023, 12:57 AM

Limited Time Offer

25%

Off

Get Premium ICGB Questions as Interactive Web-Based Practice Test or PDF

Contribute your Thoughts:

Submit Cancel
Fletcher
24 days ago
Multiple linear regression, huh? Sounds like something you'd use to predict how many coffees I'll need to get through the day. Count me in!
upvoted 0 times
Pauline
2 days ago
A) Non-linear relationships between the inputs X's and output Y
upvoted 0 times
...
Dorothea
8 days ago
A) Non-linear relationships between the inputs X's and output Y
upvoted 0 times
...
...
Desiree
1 months ago
Hmm, option B is a bit tricky. I guess it could be correct if you're trying to quantify the uncertainty in the slopes. But C and E are the real winners here.
upvoted 0 times
Dean
8 hours ago
True, all three options C, E, and B play a significant role in using MLR effectively.
upvoted 0 times
...
Markus
1 days ago
I think option E is also important because we assume the X's are independent of each other.
upvoted 0 times
...
Polly
16 days ago
User 1: I agree, option C is definitely important for using MLR.
upvoted 0 times
...
Deeanna
1 months ago
Yeah, having relationships between Y and more than one X is crucial for MLR.
upvoted 0 times
...
Justine
1 months ago
I agree, option C is definitely a key factor in using MLR.
upvoted 0 times
...
...
Jacinta
2 months ago
This is an easy one. C and E are clearly the right answers. Although, option D is just silly - who would want to prevent a designed experiment?
upvoted 0 times
Carlee
22 days ago
Yeah, D does seem unnecessary. C and E make more sense.
upvoted 0 times
...
Cecily
23 days ago
I agree, C and E are definitely the correct answers.
upvoted 0 times
...
...
Dianne
2 months ago
I'm not sure about option A. Isn't MLR supposed to be for linear relationships? Either way, C and E are definitely correct.
upvoted 0 times
...
Clement
2 months ago
Multiple linear regression is definitely the way to go when you have more than one input variable. Options C and E seem spot on to me.
upvoted 0 times
Emile
6 days ago
Exactly, that's why option C and E are the correct answers for when MLR is best used.
upvoted 0 times
...
Eura
26 days ago
It's important to remember that in MLR, we assume the X's are independent of each other.
upvoted 0 times
...
Lyla
28 days ago
Definitely, it helps capture the relationships between multiple X's and the output Y.
upvoted 0 times
...
Vallie
1 months ago
I agree, having multiple input variables is where MLR shines.
upvoted 0 times
...
...
Stanford
2 months ago
I also think MLR is useful when there is uncertainty in the slope of the linear relationship between X and Y.
upvoted 0 times
...
Anabel
2 months ago
I agree with Kristel. It helps capture the combined effect of multiple variables on the output.
upvoted 0 times
...
Kristel
2 months ago
I think MLR is best used when there are relationships between Y and more than one X.
upvoted 0 times
...

Save Cancel