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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).
Suggested Answer: A
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36 comments · newest first
FI
Filiberto
11 months ago
Totally agree, that number makes sense!
BA
Bambi
11 months ago
Wait, is that really the right value?
AR
Armanda
11 months ago
I thought it would be higher, honestly.
AR
Art
12 months ago
That seems about right!
AN
Annalee
12 months ago
R-Square is 0.5671.
GA
Gaston
1 year ago
I’m a bit confused about rounding; I hope I remember to round to four decimal places correctly.
MA
Marget
1 year 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.
ER
Erasmo
1 year 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.
WI
Wilda
1 year 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.
JA
Jackie
1 year 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.
TR
Trina
1 year 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.
SH
Shasta
1 year 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.
BE
Bette
1 year 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.
LO
Loreta
1 year ago
Okay, I can see the regression output here. I think I need to find the R-Square value to answer this.
BA
Bambi
1 year ago
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.
SK
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!
LE
Lenny
1 year 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.
RA
Rashad
1 year ago
I always get confused with the terminology too. But yes, 0.5671 is the right answer.
LE
Leota
1 year ago
I agree, R-Square is another name for the coefficient of determination. And yes, 0.5671 is the correct value.
CY
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.
WI
Winfred
1 year ago
Yeah, 0.5671 seems like the correct coefficient of determination. Let's hope for some easier questions next.
WI
Wilford
1 year ago
I think the answer is 0.5671, let's move on to the next question.
ST
Stephaine
1 year ago
I agree, R-Square can be a tricky one to calculate.
TH
Theodora
2 years 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.
CA
Carmen
1 year ago
Yes, let's plug in 0.5671 and see if it matches the calculated R-Square value.
MA
Maricela
1 year ago
I think we need to square the coefficient of determination to get R-Square.
MI
Micheline
1 year ago
Let's calculate R-Square with the given coefficient of determination.
MA
Maile
2 years 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.
LO
Louvenia
1 year ago
I haven't yet, but I will double-check the calculation to make sure it's accurate.
CH
Cherelle
1 year ago
So, did you calculate the R-Square for this particular regression model?
AR
Armanda
1 year ago
Yeah, it measures the proportion of the variance in the dependent variable that is predictable from the independent variable.
NI
Nidia
1 year ago
I think you're right, R-Square is definitely important for regression models.
WE
Wendell
2 years 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.
AS
Ashley
2 years ago
I calculated it to be 0.5671, did you get the same result?
DE
Derick
2 years ago
I agree, it's an important measure of how well the regression model fits the data.
AS
Ashley
2 years ago
I think we need to calculate the coefficient of determination, R-Square.