Quantopia.net
Toggle Menu
Home
All Posts
All Posts
Featured Articles
Tools
All Tools
Compound Interest Calculator
Mortgage Calculator
Investment Return Calculator
Inflation Calculator
Quizzes
Linear Regression for Finance
1. What is the primary goal of linear regression in finance?
To maximize portfolio returns
To predict a continuous dependent variable
To classify assets into categories
To calculate Sharpe ratio
2. Which of the following are key assumptions of linear regression?
Linearity between independent and dependent variables
Homoscedasticity (constant variance of errors)
Multicollinearity among independent variables
Independence of error terms
3. The slope coefficient in linear regression represents the change in the dependent variable for a one-unit change in the independent variable, holding other variables constant.
True
False
4. What term describes the variable being predicted in a linear regression model? (one word)
5. Which metric measures the proportion of variance in the dependent variable explained by the independent variables?
p-value
R-squared
Standard error
t-statistic
6. In finance, linear regression is commonly used to model which of the following relationships?
Stock returns vs. market index returns (CAPM)
Bond prices vs. interest rates
Company revenue vs. advertising spend
Credit score vs. loan default (classification)
7. A negative slope coefficient in linear regression implies that as the independent variable increases, the dependent variable tends to decrease.
True
False
8. What is the name of the method used to estimate regression coefficients by minimizing the sum of squared differences between observed and predicted values? (acronym or full name)
9. If a linear regression model has an R-squared of 0.60, what does this indicate?
60% of data points lie on the regression line
60% of the variance in the dependent variable is explained by the model
The model is 60% accurate
The slope coefficient is 0.60
10. What term describes a situation where independent variables in a regression model are highly correlated with each other?
Reset
Answered 0 of 0 — 0 correct