SAS A00-240 Exam - Topic 9 Question 91 Discussion

Actual exam question for SAS's A00-240 exam

Question #: 91
Topic #: 9

[All A00-240 Questions]

Refer to the REG procedure output:

Calculate the coefficient of determination, R-Square.

Enter your numeric answer in the space below. Round to 4 decimal places (example: n.nnnn).

A0.5671

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Suggested Answer: A

by Johnson at Jul 05, 2024, 12:23 AM

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Filiberto

6 months ago

Totally agree, that number makes sense!

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Bambi

7 months ago

Wait, is that really the right value?

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Armanda

7 months ago

I thought it would be higher, honestly.

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Art

7 months ago

That seems about right!

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Annalee

7 months ago

R-Square is 0.5671.

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Gaston

8 months ago

I’m a bit confused about rounding; I hope I remember to round to four decimal places correctly.

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Marget

8 months ago

This question seems similar to one we did in our last review session. I believe it involves taking the explained variance over the total variance.

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Erasmo

8 months ago

I think the R-Square value is related to how well the model fits the data, but I can't recall the exact formula we used.

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Wilda

8 months ago

I remember we practiced calculating R-Square in class, but I’m not sure if I should use the adjusted value or the regular one.

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Jackie

8 months ago

Ah, I see the R-Square now. It's the "R-Square" value in the summary table. Plugging that in as my final answer.

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Trina

8 months ago

Wait, where exactly is the R-Square value in this output? I'm having trouble locating it. I'll need to think this through step-by-step.

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Shasta

8 months ago

No problem, I've got this. The R-Square is right there in the output, it's 0.5671. I'll just enter that as my answer.

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Bette

8 months ago

Hmm, I'm a bit unsure about how to calculate the R-Square from this output. I'll need to review my notes on interpreting regression results.

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Loreta

8 months ago

Okay, I can see the regression output here. I think I need to find the R-Square value to answer this.

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Option C seems like the best fit to me. The goal of service reporting is to provide the organization with the information it needs to make informed decisions and communicate effectively. I feel confident about this one.

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Skye

1 year ago

R-Square, huh? I always thought it was called the 'Regression Coefficient of Determination'. Guess I've been living in a parallel universe this whole time. 0.5671? Sounds good to me - as long as it's not 0.5670, that's just bad luck!

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Lenny

12 months ago

It's interesting how different terms can be used for the same concept. But yes, 0.5671 is the coefficient of determination in this case.

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Rashad

1 year ago

I always get confused with the terminology too. But yes, 0.5671 is the right answer.

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Leota

1 year ago

I agree, R-Square is another name for the coefficient of determination. And yes, 0.5671 is the correct value.

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Cyril

1 year ago

Ah, the good old R-Square. The bane of every statistician's existence, but also their most prized possession. 0.5671, huh? Sounds like a pretty solid answer to me. Time to move on to the next question and pray I don't have to do any more math.

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Winfred

12 months ago

Yeah, 0.5671 seems like the correct coefficient of determination. Let's hope for some easier questions next.

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Wilford

12 months ago

I think the answer is 0.5671, let's move on to the next question.

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Stephaine

1 year ago

I agree, R-Square can be a tricky one to calculate.

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Theodora

1 year ago

Ugh, regression analysis... not my favorite topic. But I guess I better buckle down and figure this out. 0.5671, you say? Alright, let's plug that into the equation and see if it checks out.

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Carmen

12 months ago

Yes, let's plug in 0.5671 and see if it matches the calculated R-Square value.

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Maricela

1 year ago

I think we need to square the coefficient of determination to get R-Square.

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Micheline

1 year ago

Let's calculate R-Square with the given coefficient of determination.

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Maile

1 year ago

R-Square, huh? I remember learning about that in my statistics class. It's a pretty important metric for evaluating the goodness of fit of a regression model. 0.5671 seems like a reasonable answer, but I better verify it against the formula just to be sure.

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Louvenia

1 year ago

I haven't yet, but I will double-check the calculation to make sure it's accurate.

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Cherelle

1 year ago

So, did you calculate the R-Square for this particular regression model?

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Armanda

1 year ago

Yeah, it measures the proportion of the variance in the dependent variable that is predictable from the independent variable.

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Nidia

1 year ago

I think you're right, R-Square is definitely important for regression models.

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Wendell

1 year ago

Okay, let's see... The R-Square value is the coefficient of determination, which measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s). Hmm, I think 0.5671 looks about right. Let me double-check my work.

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