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 ICBB Exam - Topic 5 Question 37 Discussion

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).
C) The dashed lines indicate with 95% confidence where all of the process data should fall between
A) The dependent variable is the outside temperature
B) The relationship between outside temperature and number of customers per hour is a Linear Regression
D) The dashed lines indicate with 95% confidence the estimate for the Quadratic Regression Line
E) The predicted number of customers per hour is close to 5 if the outside temperature is 10 deg C

IASSC ICBB Exam - Topic 5 Question 37 Discussion

Actual exam question for IASSC's ICBB exam
Question #: 37
Topic #: 5
[All ICBB Questions]

Which statement(s) are correct about the Regression shown here? (Note: There are 2 correct answers).

Show Suggested Answer Hide Answer
Suggested Answer: C

by Donte at Sep 16, 2022, 11:27 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Corrie
9 months ago
E makes sense, I can see that prediction being accurate!
upvoted 0 times
...
Serina
9 months ago
Wait, are we sure about D? That sounds off.
upvoted 0 times
...
Cassi
9 months ago
C seems right, those dashed lines show confidence intervals.
upvoted 0 times
...
Stevie
9 months ago
I think B is correct, linear regression fits here.
upvoted 0 times
...
Jani
9 months ago
The dependent variable is definitely the outside temperature.
upvoted 0 times
...
Vonda
10 months ago
I have a vague memory that the predicted values are based on the regression line, but I'm confused about the temperature and customer relationship.
upvoted 0 times
...
Viki
10 months ago
I practiced a similar question where the relationship was clearly linear, so I feel like option B might be correct here too.
upvoted 0 times
...
Cammy
10 months ago
I'm not entirely sure, but I remember something about dashed lines representing confidence intervals in regression analysis.
upvoted 0 times
...
Elina
10 months ago
I think the dependent variable is actually the number of customers, not the outside temperature.
upvoted 0 times
...
Theola
10 months ago
Okay, let's see here. The question is asking about the default expiration method for non-feed indicators, and how often XSOAR checks for newly expired indicators. I think I can narrow it down to a few options, but I'll need to double-check my understanding.
upvoted 0 times
...
Marlon
10 months ago
Configuring a compliance policy sounds like a good start. I'll make sure to review the specific settings I need to apply for the Edge browsers to meet the security goals.
upvoted 0 times
...
Kasandra
10 months ago
I'm pretty confident the answer is C, the terminology register. That's specifically designed to house all the relevant terminology, acronyms, and nomenclature for the project.
upvoted 0 times
...
Jamal
10 months ago
This question seems straightforward, but I want to make sure I understand the details correctly before answering.
upvoted 0 times
...
Micah
1 year ago
Hmm, I'm not sure about the outside temperature being the dependent variable. Shouldn't it be the other way around? But I agree with B and C. This is a tricky one!
upvoted 0 times
Virgina
1 year ago
User 4: The dashed lines indicate with 95% confidence where all of the process data should fall between.
upvoted 0 times
...
Jade
1 year ago
User 3: The relationship between outside temperature and number of customers per hour is a Linear Regression.
upvoted 0 times
...
Dewitt
1 year ago
User 2: I agree, that makes more sense.
upvoted 0 times
...
Selma
1 year ago
User 1: I think the dependent variable is the number of customers per hour.
upvoted 0 times
...
Teddy
1 year ago
User4: The dashed lines indicate with 95% confidence where all of the process data should fall between.
upvoted 0 times
...
Laquanda
1 year ago
User3: The relationship between outside temperature and number of customers per hour is a Linear Regression.
upvoted 0 times
...
Joni
1 year ago
User2: I agree, that makes more sense.
upvoted 0 times
...
Valentin
1 year ago
User 3: The relationship between outside temperature and number of customers per hour is a Linear Regression.
upvoted 0 times
...
Tyra
1 year ago
User 2: I think you're right, the outside temperature is the independent variable.
upvoted 0 times
...
Naomi
1 year ago
User 1: The dependent variable is actually the number of customers per hour.
upvoted 0 times
...
Shala
1 year ago
User1: I think the dependent variable is the number of customers per hour.
upvoted 0 times
...
...
Glen
1 year ago
I'm not sure about the quadratic regression part, but I agree that the relationship is linear and the dashed lines show the 95% confidence interval. This is a pretty straightforward question.
upvoted 0 times
...
Dan
1 year ago
I think the correct answers are B and C. The relationship looks linear, and the dashed lines indicate the 95% confidence interval for the regression line.
upvoted 0 times
Kristeen
1 year ago
Yes, and the dashed lines do indicate the 95% confidence interval.
upvoted 0 times
...
Ardella
1 year ago
I agree, the relationship does look linear.
upvoted 0 times
...
...
Ma
1 year ago
I agree with you, Mammie. B and C make sense based on the graph.
upvoted 0 times
...
Mammie
1 year ago
I think B and C are the correct statements.
upvoted 0 times
...
Ma
1 year ago
A and E are correct.
upvoted 0 times
...

Save Cancel