Quantitative Methods II (for IB / QM2)

at Maastricht University

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++++++ Ask your question for the QM2 course here and an experienced Success Formula tutor will answer it as soon as possible ++++++ Any problems or questions while studying/preparing for QM2? Don’t worry, we got you covered! Just post any of your questions on the QM2 discussion board on Studydrive and our professional tutors will help you!!! PLEASE ask your questions as a SEPARATE POST and NOT as a COMMENT here! We wish you lots of success! Your Success Formula Team
How can we tell that the point estimate is 2?
The point estimate is not 2... It is just another formula: Critical value = ((Width of C.I.)/2)/ SE So, WIdth = 2* Critical value * SE
Can someone explain me where does these constraints come from? And constraint 6 too please
you have to first write the constraints : 75A+85B+60C greater than 75A+75B+75C AND THEN SOLVE IT AND YOU SHOULD HAVE THE FIRST CONSTRAINT
Can someone explain please? I get the se part but not the estimated slope for me it would be the other way around
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Thank you very much
You can also just put the values in the PV of Annuity formula
Hey, I do not get why we multiple A & B
Hi there, sometimes it helps to not think about it in terms of matrices, but more "realistically". In order to run the all-around program (see matrix B), you need two times muscle, 1 times biking, and 1 times running. So how much equipment do we need for that? See the information in matrix A. For 1 muscle : you need 4 times weightlifting, 1 home training and 1 tread mill. For 1 biking you need: 2 weightlifting, 3 home trainer, 2 tread mill. And so on. So if you want to calculate for example how many times weightlifting you need for the all-around programm you calculate: 2 muscles * 4 weightlifting + 1 biking *2 weightlifting + 1 running * 2 weightlifting = 12. You just combine the matrices to calculate the full requirements. I hope that helps - it is difficult to write that down ;-) Your Success Formula Team - Lena
How do we find the g here??
Hi there, g stands for the number of independent variables in the reduced model. You know that the complete model has 7 independent variables (k = 7), as specified in Model II. Now in question 19, you are testing whether b6 = b7 = 0 --> this means that you are reducing the Model II by these two variables. 7 (number of variables in complete model) - 2 (number of variables being kicked out) = 5 = g. Hope that helps! Your Success Formula Team - Lena
I just don't get why it is above 10% and not 20% because looking at the Table-T, 1.266 is not between 1.290 and 1.660, but just smaller than 1.290... so it should be larger than 20%... Can someone explain ?
Hey Lucie. Watch out carefully for his answer. It is a one-sided alternative, therefore, we need to look at the onoe-tail probability and thus, it is indeed above 10%.
how did a) - d) and come up with the solution???
Hey guys, anybody knows someone who did the course assignment and passed it?
And do you have by any chance his/her excel sheets?
No matter how I plug this in the calculator, I get 26, is this normal?
It's not normal! You should indeed get 0.831. Try adding up the fractions first and then take the sqrt of that
I actually checked it was a mistake due to the commas haha
Are there any? Like I need one point to pass
Good Luck everyone! We got this!
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Thank youu!!!
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Great Summary !!
Can someone explain this one ?
Hi MR.P., please find my calculation in the pictures - I wrote a bit of text, to try to explain what I am doing. Hope that helps. Your Success Formula Team - Lena
Can someone guide me on this one ??
Hi MR.P, I would love to help - however I am not sure which question this exactly refers to. Can you give me the question number? Then I can give you an answer :)
Can someone explain me how do we calculate t stat if the ask ?? Help please :)
I think u can look for IT in the the T-stat table and with the degree of freedom u can find the proper t-stat value
You first look at the p-value of that coefficient. It is at 5%. Then you go to the t-table and look for the t-stat at 140 df at 0.05 two tail which is 1.997 :)
Can someone tell me where does the "30" come from ?
The question asks you to make a prediction interval for your friend, who has his "30th" work anniversary. This implies he has 30 years of experience - so you plug in the 30 as the value for Exp in Model 1. Hope that helps! Your Success Formula Team - Lena
How do we solve this ?
Dear Anonymous Credit Card, you need to find maximum of the equation specified as Model III. In order to do that, you take the first derivative with respect to age, set it equal to zero and then solve for age. The full equation is: y = 3.207 + 0.021 Exp - 0.047 Female + 0.008 Prior Exp + 0.016 Age - 0.00014 Agesqr - 0.109 Educ1 + 0.145 Educ 3 (see the output Model III) The first derivative with respect to age is: y' = 0.016 - 0.00028 Age set this equal to 0 0 = 0.016 - 0.00028 Age 0.00028 Age = 0.016 Age = 57.14 Hope this helps. :) Your Success Formula Team - Lena
What are qh and qm ?
qn= (1-pn) and pm=1-qm
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amazing job, really useful
Thank you!! :)
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super Sache ja!
? bin jetzt auch ein studydrive profi
rising star in der Szene 100%
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Thanks Francesco :)
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are you going to upload a summary for weeks 4-7 by any chance? :)
I didn't think there was demand for that because so many people uploaded QM things and that's why I didn't start one yet :/ I could try to make one but I don't know how soon that would be
okay yeah no worries, just thought that it‘d be helpful to have but don‘t feel pressured to do it or anything!
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How to use it?
Can someone tell me where does the "30" come from ??
From text above the 30th anniversary :)
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Download this document!!!! He did the job of compiling everything Nice job man,you earn the rights for download
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Why do have 2 for Exercise 3-1 ?
we had to do c and d last year
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You should check your work. You used a + instead of a * symbol in the r squared formula which means that your values are wrong
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Well, in the Rsquared Column you wrote =L2+L2 and it should be =L2*L2 as far as I know. Weirldy all the other entries in that column are correct though. That’s also the reason why your VIF is not the same as in the course
oh wow did not notice that, thanks for pointing it out!
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thank you soooo much, can you explain briefly???
Thanks for sharing this! However, you either have the course manual from last year or you just copied the work from a last year's student... Even though Kerckhoffs is teaching this course for 20 years, it happens sometimes that he changes the content a bit so pay more attention for the future courses instead of just copying...
29.445$ lower than semi-detached houses, not higher
hey ! I believe to know that Marlen F is actually a second or third year student. She already uploaded stuff last year, so I believe that she just reuploaded her work for us. Thats still very kind of her !
This is not part of this year's course. You should check that before uploading. Otherwise good job and thank you for the continuous uploads.
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can you explained how to do the math part please???
I'm an EBE student so can't help you out..sorry
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thanks Tom!
guys,​ please upload excel LP for week 7, I'm so desperate haha
yes pleaseeeee
Will they round the quiz bonus points? for example if you have 3,9; will they give you 4 points?
Yep sure they do
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cheers buddy!
I don't get why C is wrong can someone explain please?
A --> (3x3) B --> (3x4) So B² --> (3x4)*(3X4) which doesn't work
How do we solve this one ?
Can someone explain this one please ?
can someone please upload the excel​ LP tasks?
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caanyou exlain how have you done please ? :)
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with the data of the regression
3. add column age^2, row*floor, det*floor my question is about this part, how can I compute it? thanks for your time :)
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This is amazing !
Thank you very much kind souls! Your love is retrospected in your comment like butterflies in my heart !
Do you calculate the full determinant (it takes so much time) ? or is there a trick ?
Not if you switch the first row with the third one to have [0 0 0 2 0 ] on top (just don't forget to add the minus in front !). You can repeat this with the "sub-matrix" in order to always have a row with few zeros on top (which will you make save a lot of time)
Here is the detailed process
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Thank youu
No problem glad to help
What is the formula ?? Because I don't get where to 0 comes from ??
isnt it 0.0005?
Hey! Does anyone know what's the critical value for chi x2 goodness of fit?
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