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“It’s not going to be easy, but it’s going to be worth it.”
Questions 15 refer to the following information:
A financial analyst is conducting a multiple linear regression analysis to determine the factors that influence the stock price of a particular company. The analyst uses the following independent variables in the regression model:
The analyst collects data for 50 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  24.25  1.23  19.72  0.000 
EPS  0.98  0.07  13.64  0.002 
BVPS  1.15  0.08  14.29  0.001 
P/E  0.57  0.11  5.20  0.042 
ROE  0.75  0.06  12.27  0.003 
Rsquared  0.80  
Adjusted Rsquared  0.78  
Standard Error  5.12 
Calculate the predicted stock price for a quarter where the company has an EPS of 1.20, BVPS of 10.50, P/E of 20, and ROE of 0.12.
Questions 15 refer to the following information:
A financial analyst is conducting a multiple linear regression analysis to determine the factors that influence the stock price of a particular company. The analyst uses the following independent variables in the regression model:
The analyst collects data for 50 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  24.25  1.23  19.72  0.000 
EPS  0.98  0.07  13.64  0.002 
BVPS  1.15  0.08  14.29  0.001 
P/E  0.57  0.11  5.20  0.042 
ROE  0.75  0.06  12.27  0.003 
Rsquared  0.80  
Adjusted Rsquared  0.78  
Standard Error  5.12 
Calculate the 95% confidence interval for the coefficient of the P/E variable.
Questions 15 refer to the following information:
A financial analyst is conducting a multiple linear regression analysis to determine the factors that influence the stock price of a particular company. The analyst uses the following independent variables in the regression model:
The analyst collects data for 50 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  24.25  1.23  19.72  0.000 
EPS  0.98  0.07  13.64  0.002 
BVPS  1.15  0.08  14.29  0.001 
P/E  0.57  0.11  5.20  0.042 
ROE  0.75  0.06  12.27  0.003 
Rsquared  0.80  
Adjusted Rsquared  0.78  
Standard Error  5.12 
What is the meaning of the pvalue for the coefficient of an independent variable in the regression model?
Questions 15 refer to the following information:
A financial analyst is conducting a multiple linear regression analysis to determine the factors that influence the stock price of a particular company. The analyst uses the following independent variables in the regression model:
The analyst collects data for 50 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  24.25  1.23  19.72  0.000 
EPS  0.98  0.07  13.64  0.002 
BVPS  1.15  0.08  14.29  0.001 
P/E  0.57  0.11  5.20  0.042 
ROE  0.75  0.06  12.27  0.003 
Rsquared  0.80  
Adjusted Rsquared  0.78  
Standard Error  5.12 
Calculate the Fstatistic for the regression model.
Questions 15 refer to the following information:
A financial analyst is conducting a multiple linear regression analysis to determine the factors that influence the stock price of a particular company. The analyst uses the following independent variables in the regression model:
The analyst collects data for 50 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  24.25  1.23  19.72  0.000 
EPS  0.98  0.07  13.64  0.002 
BVPS  1.15  0.08  14.29  0.001 
P/E  0.57  0.11  5.20  0.042 
ROE  0.75  0.06  12.27  0.003 
Rsquared  0.80  
Adjusted Rsquared  0.78  
Standard Error  5.12 
What is the difference between Rsquared and adjusted Rsquared, and why is adjusted Rsquared preferred in some cases?
Questions 610 refer to the following information:
A researcher is conducting a multiple linear regression analysis to examine the factors that affect a company’s revenue. The following independent variables are used in the regression model:
The researcher collects data for 100 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  1850  350  5.29  0.000 
AdSpend  125  30  4.13  0.002 
NumEmp  80  15  5.14  0.001 
CSat  500  120  4.17  0.001 
Price  300  40  7.50  0.000 
Rsquared  0.75  
Adjusted Rsquared  0.73  
Standard Error  1000 
What is the significance of the pvalue for the AdSpend variable?
Questions 610 refer to the following information:
A researcher is conducting a multiple linear regression analysis to examine the factors that affect a company’s revenue. The following independent variables are used in the regression model:
The researcher collects data for 100 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  1850  350  5.29  0.000 
AdSpend  125  30  4.13  0.002 
NumEmp  80  15  5.14  0.001 
CSat  500  120  4.17  0.001 
Price  300  40  7.50  0.000 
Rsquared  0.75  
Adjusted Rsquared  0.73  
Standard Error  1000 
What is the primary consequence of heteroskedasticity in a regression model?
Questions 610 refer to the following information:
A researcher is conducting a multiple linear regression analysis to examine the factors that affect a company’s revenue. The following independent variables are used in the regression model:
The researcher collects data for 100 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  1850  350  5.29  0.000 
AdSpend  125  30  4.13  0.002 
NumEmp  80  15  5.14  0.001 
CSat  500  120  4.17  0.001 
Price  300  40  7.50  0.000 
Rsquared  0.75  
Adjusted Rsquared  0.73  
Standard Error  1000 
What is the variance inflation factor (VIF) for the Revenue variable in the regression model?
Questions 610 refer to the following information:
A researcher is conducting a multiple linear regression analysis to examine the factors that affect a company’s revenue. The following independent variables are used in the regression model:
The researcher collects data for 100 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  1850  350  5.29  0.000 
AdSpend  125  30  4.13  0.002 
NumEmp  80  15  5.14  0.001 
CSat  500  120  4.17  0.001 
Price  300  40  0.000  
Rsquared  0.75  
Adjusted Rsquared  0.73  
Standard Error  1000 
Calculate the tvalue for the coefficient of the Price variable.
Questions 610 refer to the following information:
A researcher is conducting a multiple linear regression analysis to examine the factors that affect a company’s revenue. The following independent variables are used in the regression model:
The researcher collects data for 100 quarters and performs the regression analysis. The following output is obtained:
Regression Output:
Coefficient  Std. Error  tstat  pvalue  

Intercept  1850  350  5.29  0.000 
AdSpend  125  30  4.13  0.002 
NumEmp  80  15  5.14  0.001 
CSat  500  120  4.17  0.001 
Price  300  40  7.50  0.000 
Rsquared  0.75  
Adjusted Rsquared  0.73  
Standard Error  1000 
What is the consequence of autocorrelation in the residuals of a regression model?
Questions 1115 refer to the following information:
Regression Analysis: Revenue versus AdSpend, NumEmp, CSat, Price
Analysis of Variance Table
Source  SS  df  MS  F  pvalue 

Regression  4,785,500  4  191.74  <0.001  
Residual  7,214,500  95  
Total  99 
What is the total sum of squares (SST) in the regression model?
Questions 1115 refer to the following information:
Regression Analysis: Revenue versus AdSpend, NumEmp, CSat, Price
Analysis of Variance Table
Source  SS  df  MS  F  pvalue 

Regression  4,785,500  4  191.74  <0.001  
Residual  7,214,500  95  
Total  12,000,000  99 
What is the mean square for regression (MSR) in the regression model?
Questions 1115 refer to the following information:
Regression Analysis: Revenue versus AdSpend, NumEmp, CSat, Price
Analysis of Variance Table
Source  SS  df  MS  F  pvalue 

Regression  4,785,500  4  1,196,375  <0.001  
Residual  7,214,500  95  75,994  
Total  12,000,000  99 
What is the Fstatistic for the regression model?
Why is the language of the Learning Outcome Statements (LOS) different from the curriculum?
The LOS are protected under the CFA Institute's copyright, and we don't have permission to duplicate them verbatim. Therefore, we've rephrased the LOS and included alphabetical labels (a, b, c, …) to simplify crossreferencing with the original LOS in the curriculum when needed.
Now available for all Level I topics! Try it now!
Enter a search term (e.g. ‘LIFO reserve’), or bookmark the glossary page!
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Are you a CFA Level I candidate, or someone who is exploring taking the CFA exam? Four years ago, I was in your shoes. I am a Computer Engineering graduate and have been working as an engineer all my life. Having developed a keen interest in finance, I decided on a career switch to the finance field and enrolled into the CFA program at the same time.
Adjusting to the drastic career change was tough. I naturally neglected the preparation for my Level I exam in June 2014. It was not until the middle of March 2014 that I realized I only had a little more than 2 months to the exam. To compound my problems, I basically did not have a preparation strategy. Having no background in finance at all, I tried very hard to read the curriculum from cover to cover, but eventually that fell flat. I can still recall the number of times I dozed off while studying, or just going back and forth trying to understand even the simplest concept. My mind simply could not keep up after a hard day at work.
Does all these sound familiar to you? Well, take heart. No matter how bleak it seems, at least sit for the exam and treat it as a learning experience. That was basically my attitude as I burrowed through my exam prep with toil and stress. By God’s grace, I did pass my Level I exam in June 2014. It was an experience I would not want to revisit though.
For the Level II exam, I endeavoured not to repeat the mistakes I made. Based on the Pareto 80/20 principle, I learnt to extract the most essential bits from the curriculum enough to give me that 80% result to pass. Being a visual learner, I took notes and summaries in pictorial form. Instead of reserving huge segments of time to study, I carved out pockets of time to learn and practise – accommodating to my fulltime job. I managed to pass my Level II and Level III exams consecutively with considerably less effort and stress than when I did my level I.
I love the CFA Program and truly value the skills and ethics that are imparted to make me a better finance professional. My desire is to help candidates who are keen to pursue this path to do so in the most effective and painless process as possible – based on the lessons that I learnt as a candidate. I have set up PrepNuggets with the vision to revolutionise learning by using technology, catering to the short attention span that we can afford. If this makes sense to you, join the PrepNuggets community by signing up for your free student account. I am confident that the materials that we have laboriously crafted will bring you closer to that dream pass with just that 20% effort. Let us do the hard work for you.
Regards,
Keith Tan, CFA
Founder and Chief Instructor
PrepNuggets
Keith is the founder and chief instructor of PrepNuggets. He has a wide range of interests in all things related to tech, from web development to elearning, gadgets to apps. Keith loves exploring different cultures and the untouched gems around the world. He currently lives in Singapore but frequently travels to share his knowledge and expertise with others.
Have you ever gotten stuck in your study because you can’t remember a formula, or what a specific term means? Now, say goodbye to scanning through all the videos and ploughing through pages and pages just to find what you are looking for. All the important formulas, definitions and diagrams you need for the exam are now at your fingertips at prepnuggets.com/glossary.
What’s more, these quick references are deeply integrated in our lessons, so you get a good idea of what the lesson covers even before watching the video. The references also point you to specific video lessons where it is covered, so you can quickly access the corresponding video to learn more about the term.
Available now for all Level I topics, this service is exclusive for our Premium and Pro members only. We will progressively add the rest of the topic areas over the next few months.
We think this is a gamechanger for your CFA success!
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Simply log in to any of our courses on Udemy, and head to the last lecture titled ‘BONUS: Continue Your Exam Prep With Us!‘. You will find the exclusive link to sign up for this offer!
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On the 1st of March 2018, we took a bold step of faith to put our Financial Reporting and Analysis (FRA) course on Udemy.
For those of you who are new to Udemy, it is the world’s largest marketplace for online courses. Think of it like the EBay of online courses.
So imagine our trepidation in pitting our course in this highly competitive platform, against the many CFA prep providers already entrenched on the platform.
Overwhelming.
Yes, that’s the word that aptly describes the response to our course from the Udemy community.
The “Best Seller” tag from Udemy is attached to only one best selling course in its category. In just 1 month, our FRA course became the best selling CFA course on the platform. If you do a search for ‘CFA Level 1’, our course comes out on top in the search rankings.
Since the launch on 1 March, we have had more than 250 paid enrolments. While we are heartened by this figure, nothing beats knowing that our course has reached 50 countries around the world! It was simply heartwarming to receive messages from students from countries we barely know about, telling us how much they love the course and their wish that we would produce more of such courses. This certainly spurs us on to produce more materials to ease the burden of CFA candidates worldwide.
As of today, our course has a high average rating of 4.8 out of 5.0. 74% of the reviewers gave us 5 stars! We take this as endorsement that we are doing things right, and will continue in using the Pareto principle approach for our course materials. There are, of course, constructive feedback as well, and we aim to incorporate some of the feedback in producing the upcoming courses.
We are working hard to bring more of our courses to Udemy! We realise some candidates prefer to purchase courses as they need individually, so we endeavour to give more options to our potential students. Check out our Udemy Courses Page to find out which of our courses are available on Udemy for your purchase.
If you have purchased our course on Udemy and would like to continue with the PrepNuggets study approach for other topics, we have an awesome upgrade offer to Premium membership for you!
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