ASQ Exam CQE Topic 3 Question 90 Discussion

Actual exam question for ASQ's CQE exam

Question #: 90
Topic #: 3

[All CQE Questions]

The "least squares method" is used in

AThe central limit theorem

BCalculating 2

CCalculating 2 and s2

DCalculating a best fit regression line.

Show Suggested Answer

Suggested Answer: D

by Whitley at Jun 20, 2024, 08:40 AM

Limited Time Offer

25%

Off

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

Contribute your Thoughts:

Submit Cancel

Reita

4 months ago

I remember learning that the least squares method is specifically used for finding the best fit line in regression analysis, so I would go with option D.

upvoted 0 times

...

Dick

4 months ago

As an aspiring data scientist, I know the least squares method is all about finding that perfect regression line. D is the winner!

upvoted 0 times

Lenita

2 months ago

It's great to see someone interested in data science, keep up the good work!

upvoted 0 times

...

Kayleigh

2 months ago

The least squares method is essential for determining the line that best fits the data points.

upvoted 0 times

...

Janae

3 months ago

I agree, D is the correct answer for calculating a best fit regression line.

upvoted 0 times

...

Reuben

3 months ago

It's great to see someone interested in data science, D is definitely the way to go for regression analysis.

upvoted 0 times

...

Haydee

3 months ago

The least squares method is essential for determining the relationship between variables.

upvoted 0 times

...

Cassandra

4 months ago

I agree, D is the correct answer for calculating a best fit regression line.

upvoted 0 times

...

Penney

4 months ago

I'm not sure, but I think it might also be used in calculating 2 and s2.

upvoted 0 times

...

Leonardo

4 months ago

Haha, if I thought the central limit theorem was the answer, I'd be living in a different universe! D is the only logical choice here.

upvoted 0 times

Hannah

3 months ago

Yeah, the least squares method is used for calculating a best fit regression line.

upvoted 0 times

...

Micah

3 months ago

I agree, D is definitely the correct choice.

upvoted 0 times

...

Tennie

4 months ago

Choosing 2 and s2 seems like a reasonable option, but the question specifically asks about the 'least squares method', so D is the way to go.

upvoted 0 times

Victor

4 months ago

Yes, D) Calculating a best fit regression line is the correct choice in this case.

upvoted 0 times

...

Jospeh

4 months ago

It's important to pay attention to the specific terminology used in the question.

upvoted 0 times

...

Judy

4 months ago

I agree, the 'least squares method' is commonly used for calculating a best fit line.

upvoted 0 times

...

Antonio

4 months ago

I think the answer is D) Calculating a best fit regression line.

upvoted 0 times

...

Lavonda

4 months ago

I agree with Jackie, it helps in finding the line that minimizes the sum of the squares of the differences between the observed and predicted values.

upvoted 0 times

...

Micheal

5 months ago

The least squares method is definitely used for calculating the best fit regression line. Choice D is clearly the correct answer here.

upvoted 0 times

Laurena

4 months ago

Yes, choice D is the correct answer for sure.

upvoted 0 times

...

Aimee

4 months ago

I agree, the least squares method is essential for finding the best fit regression line.

upvoted 0 times

...

Jackie

5 months ago

I think the least squares method is used in calculating a best fit regression line.

upvoted 0 times

...