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 ICBB Topic 4 Question 89 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 89
Topic #: 4
[All ICBB Questions]

Which statement(s) are most correct for the Regression Analysis shown here?

Show Suggested Answer Hide Answer
Suggested Answer: B

by Wilda at Apr 03, 2025, 05:10 PM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel
Jamika
2 months ago
Wait, hold up, is this a trick question? I bet the answer is 'All of the above, and then some!' Gotta love these regression analysis brain teasers.
upvoted 0 times
Patrick
1 months ago
User 3: D) This Multiple Linear Regression has four statistically significant independent variables
upvoted 0 times
...
Carey
1 months ago
User 2: B) The air-fuel ratio explains most of the TurbineOutput variation
upvoted 0 times
...
Francoise
2 months ago
User 1: A) The Regression explains 50.8% of the process variation
upvoted 0 times
...
...
Daron
3 months ago
D) This Multiple Linear Regression has four statistically significant independent variables? Now we're talking! This model sounds more robust and reliable.
upvoted 0 times
...
Lucy
3 months ago
C) This Simple Linear Regression explains 98+% of the process variation? That sounds too good to be true. I bet there's some overfitting going on there.
upvoted 0 times
Salome
1 months ago
D) This Multiple Linear Regression has four statistically significant independent variables
upvoted 0 times
...
Jannette
1 months ago
C) This Simple Linear Regression explains 98+% of the process variation
upvoted 0 times
...
Lashanda
2 months ago
B) The air-fuel ratio explains most of the TurbineOutput variation
upvoted 0 times
...
Tammara
2 months ago
A) The Regression explains 50.8% of the process variation
upvoted 0 times
...
...
Cordelia
3 months ago
B) The air-fuel ratio explains most of the TurbineOutput variation? Interesting, but I'd need to see the p-value and other statistics to be sure.
upvoted 0 times
Pok
2 months ago
D) This Multiple Linear Regression has four statistically significant independent variables
upvoted 0 times
...
Kerrie
2 months ago
B) I agree, we need more statistical information to confirm that statement
upvoted 0 times
...
Marvel
2 months ago
A) The Regression explains 50.8% of the process variation
upvoted 0 times
...
...
James
3 months ago
A) The Regression explains 50.8% of the process variation? That's not too impressive. I'd expect a higher R-squared value for a well-fitted model.
upvoted 0 times
Valentin
2 months ago
D) This Multiple Linear Regression has four statistically significant independent variables
upvoted 0 times
...
Joseph
2 months ago
C) This Simple Linear Regression explains 98+% of the process variation
upvoted 0 times
...
Cary
3 months ago
B) The air-fuel ratio explains most of the TurbineOutput variation
upvoted 0 times
...
...
Burma
3 months ago
Hmm, that's a good point. But I still think statement A is more likely to be correct based on the data shown.
upvoted 0 times
...
Martha
4 months ago
I disagree with statement A. I believe statement C is more accurate as it says this Simple Linear Regression explains 98+% of the process variation.
upvoted 0 times
...
Burma
4 months ago
I think statement A is correct because the Regression explains 50.8% of the process variation.
upvoted 0 times
...

Save Cancel