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

Tibco TCP-SP Exam - Topic 1 Question 5 Discussion

The Linear Regression method in Predictive Modelling does the following
C) Models the numeric response column as a weighted sum of the predictor columns
A) Models the categorical response column as a weighted sum of predictor columns
B) Used when the response column is categorical with only two possible values
D) Creates a binary tree by recursively splitting the data on the predictor values

Tibco TCP-SP Exam - Topic 1 Question 5 Discussion

Actual exam question for Tibco's TCP-SP exam
Question #: 5
Topic #: 1
[All TCP-SP Questions]

The Linear Regression method in Predictive Modelling does the following

Show Suggested Answer Hide Answer
Suggested Answer: C

The Linear Regression method in Predictive Modelling is used when the response column is numeric and continuous, and the relationship between the response and the predictors is assumed to be linear. The Linear Regression method models the numeric response column as a weighted sum of the predictor columns, plus an intercept term.The weights, or coefficients, are estimated by minimizing the sum of squared errors between the observed and predicted values1.The Linear Regression method can be used to assess the significance and effect of each predictor, as well as to make predictions for new data2.Reference:Building a Regression Model in Spotfire,TIBCO Spotfire - Use Regression Modeling to Predict Numerical Values


by Clorinda at Apr 12, 2024, 02:44 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

0/2000 characters
Submit Cancel
Latrice
8 months ago
D sounds like decision trees, not linear regression!
upvoted 0 times
...
Juan
8 months ago
Definitely C, A and B are way off.
upvoted 0 times
...
Huey
8 months ago
Wait, I thought it could handle categorical too?
upvoted 0 times
...
King
9 months ago
Totally agree, it's all about that weighted sum!
upvoted 0 times
...
Ahmed
9 months ago
Linear regression models numeric responses, not categorical.
upvoted 0 times
...
Dustin
9 months ago
I definitely recall that linear regression deals with numeric responses, but I can't remember if it specifically mentions weighted sums in the definition.
upvoted 0 times
...
Carma
9 months ago
I feel like I might be mixing up linear regression with logistic regression, which is for categorical responses.
upvoted 0 times
...
Jin
9 months ago
I remember practicing a question that mentioned linear regression is used for continuous outcomes, so I think option C makes the most sense.
upvoted 0 times
...
Doretha
10 months ago
I think linear regression is about modeling numeric responses, but I'm not completely sure if it's just a weighted sum.
upvoted 0 times
...
Vilma
10 months ago
I'm a bit unsure on this one. I know linear regression is a common predictive modeling technique, but I can't quite remember all the details about how it works. I'll have to eliminate the options that seem clearly wrong, and then make an educated guess on the remaining ones.
upvoted 0 times
...
Alayna
10 months ago
Okay, I've got this. Linear regression is used for numeric response variables, not categorical ones. So option A about modeling a categorical response is definitely wrong. And option B about binary response variables is also not correct for linear regression. I'm confident option C is the right answer here.
upvoted 0 times
...
Agustin
10 months ago
Hmm, I'm a bit confused here. I know linear regression is used for numeric response variables, but I'm not sure if it models the response as a weighted sum or if that's describing a different technique. I'll have to think this through carefully.
upvoted 0 times
...
Jamey
10 months ago
I'm pretty sure this is asking about linear regression, which models the numeric response as a weighted sum of the predictor columns. I'll go with option C.
upvoted 0 times
...
Broderick
10 months ago
Okay, let's think this through. Since there's no backup, I'm leaning towards running the saved versus running configuration. That should give us a good starting point to identify the changes that caused the outage and potentially roll them back.
upvoted 0 times
...
Alline
10 months ago
Okay, I think I've got it. The service preference determines which bridge pools to use for a conference, in order of priority. That sounds like option B to me.
upvoted 0 times
...
Jamika
2 years ago
I always get confused between A and C options, but I think I'll go with C.
upvoted 0 times
...
Deangelo
2 years ago
I disagree, I think it models the categorical response column as a weighted sum of predictors.
upvoted 0 times
...
Felix
2 years ago
I believe option C is correct, it makes sense to me.
upvoted 0 times
...
Monroe
2 years ago
I think it models the numeric response column as a weighted sum of the predictor columns.
upvoted 0 times
...
Shelba
2 years ago
What does the Linear Regression method in Predictive Modelling do?
upvoted 0 times
...
Simona
2 years ago
Yeah, you're probably right. Although, I have to say, if I was the one writing this exam, I would have made the question a little more challenging. This is too easy, if you ask me.
upvoted 0 times
...
Delmy
2 years ago
I'm not so sure about that. I think option A might be the right answer. Doesn't linear regression model the categorical response column as a weighted sum of the predictor columns?
upvoted 0 times
...
Cyril
2 years ago
This question is a bit tricky, but I think the correct answer is C. Linear regression models the numeric response column as a weighted sum of the predictor columns. That's the whole point of linear regression, right?
upvoted 0 times
Kerry
2 years ago
I agree with you. Linear regression is all about modeling numeric response.
upvoted 0 times
...
Roosevelt
2 years ago
I think the answer is C. That's how linear regression works.
upvoted 0 times
...
...

Save Cancel