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Test Bank for Correlation and Regression Questions with Answers | Linear Regression, Correlation Coefficient, Hypothesis Testing

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Sharpen your skills in Correlation and Regression Analysis with this focused Test Bank, designed for CFA Level 2 exam preparation. This resource includes a variety of multiple-choice questions on linear regression models, correlation coefficients, hypothesis testing, and the assumptions underlying regression analysis. Practice how to interpret regression outputs, assess the relationship between variables, calculate R-squared values, and apply statistical tests to determine the significance of results. Ideal for CFA candidates, finance students, and anyone looking to master regression techniques for investment and risk management. Answers are provided at the end for quick self-assessment and review. If you’ve been searching for “Correlation and Regression CFA questions with answers” or “regression analysis practice questions Level 2,” this is your go-to study guide.

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Institution
Intro to Statistics
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Intro to Statistics

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Uploaded on
January 28, 2025
Number of pages
10
Written in
2024/2025
Type
Exam (elaborations)
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Subjects

  • hypothesis testing cfa

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Correlation and Regression – Question Bank www.ift.world


LO.a: Calculate and interpret a sample covariance and a sample correlation coefficient and
interpret a scatter plot.

1. Based on the scatter plots shown below, which of the following statements is most accurate?

Figure 1




Figure 2




Figure 3




A. Figure 1 shows a scatter plot of two variables with a correlation of -1.
B. Figure 2 shows a scatter plot of two variables with a correlation of -1. C. Figure 3
shows a scatter plot of two variables with a correlation of -1.

2. The following table gives the number of cars sold annually and interest rates in a country, for
four recent years. The sample correlation between car sales and interest rates is closest to:




Copyright © IFT. All rights reserved. Page 1

, Correlation and Regression – Question Bank www.ift.world


Year Cars Sold (in millions) Interest Rate (%)
2011 100 7.0
2012 140 6.0
2013 160 5.0
2014 120 6.0
A. 0.95.
B. 0.
C. -0.95.

3. Analyst 1: If two variables have a very strong linear relation, then the absolute value of their
correlation will be close to 1.
Analyst 2: If the correlation coefficient is positive, the two variables are directly related;
if the correlation coefficient is negative, the two variables are not related. A. Analyst 1 is
correct.
B. Analyst 2 is correct.
C. Both analysts are correct.

LO.b: Describe limitations to correlation analysis.

4. Which of the following statements is least accurate?
A. Two variables can have a strong nonlinear relation and still have a very low
correlation.
B. Correlation is a more reliable measure when outliers are present in the data series.
C. Correlation between two variables can arise not from a direct relation between them,
but from their relation to a third variable.

LO.c: Formulate a test of the hypothesis that the population correlation coefficient equals
zero and determine whether the hypothesis is rejected at a given level of significance.

5. The following table shows the sample correlations of the monthly returns for two different
mutual funds with the S&P 500. The correlations are based on 36 monthly observations. The
funds are as follows:
Fund 1: Small cap fund
Fund 2: Emerging equity fund.
S&P 500: US domestic stock index
S&P 500
Fund 1 0.32
Fund 2 0.36
S&P 500 1
Using a 5 percent significance level, which of the following conclusions is most accurate?
(Critical t-value for 34 df, using a 5 percent significance level and a two tailed test is 2.032)
A. Fund 1 is correlated to S&P 500.
B. Fund 2 is correlated to S&P 500.
C. Both funds are correlated to S&P 500.

Copyright © IFT. All rights reserved. Page 2

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