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Tibco Exam TCP-SP 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

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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

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Jamika
1 years ago
I always get confused between A and C options, but I think I'll go with C.
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Deangelo
1 years ago
I disagree, I think it models the categorical response column as a weighted sum of predictors.
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Felix
1 years ago
I believe option C is correct, it makes sense to me.
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Monroe
1 years ago
I think it models the numeric response column as a weighted sum of the predictor columns.
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Shelba
1 years ago
What does the Linear Regression method in Predictive Modelling do?
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Simona
1 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.
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Delmy
1 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?
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Cyril
1 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?
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Kerry
1 years ago
I agree with you. Linear regression is all about modeling numeric response.
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Roosevelt
1 years ago
I think the answer is C. That's how linear regression works.
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