FRM Part I · FRM Exam Part I · Regression with Multiple Explanatory Variables
A researcher estimates a regression of bond spread changes on three variables using 83 observations. The coefficient on variable X1 is 0.90 with standard error 0.30, and the coefficient on X3 is -0.50 with standard error 0.40. Each has a two-sided 5% critical value of about 1.99. Which conclusion is correct?
X1 has t = 0.90/0.30 = 3.00, above the 1.99 critical value, so it is significant. X3 has t = -0.50/0.40 = -1.25, whose absolute value is below 1.99, so it is not significant. Only X1 is significant at the 5% level.
- ABoth coefficients are significant at 5%
- BNeither coefficient is significant at 5%
- CX1 is significant at 5% but X3 is notCorrect
- DX3 is significant at 5% but X1 is not
Explanation
t for X1 = 0.90/0.30 = 3.00, which exceeds 1.99, so reject zero. t for X3 = -0.50/0.40 = -1.25, with absolute value below 1.99, so do not reject. Treating the negative sign as lowering significance is a mistake; only the absolute value matters.
Did you get it right without looking?
One question tells you little. A timed set on Regression with Multiple Explanatory Variables shows your real accuracy, how long you take and where you lose marks.
More Regression with Multiple Explanatory Variables questions
- In a multiple regression, the t-statistic for testing that a single slope coefficient equals zero is 2.40. An F-test is then run on the same…
- An analyst regresses a stock's excess return on several factors. For the market factor, the R-squared from regressing that factor on all the…
- An analyst regresses monthly excess returns of a fund on the market excess return and a size factor using 62 observations. The estimated siz…
- A regression with k = 4 explanatory variables is estimated on n = 41 observations and produces an R-squared of 0.60. What is the adjusted R-…
- A model of 100 observations with five explanatory variables has an unrestricted R-squared of 0.55. A researcher tests the joint null that th…
- A risk analyst's regression of fund returns on two highly correlated factors (correlation 0.95) gives unstable coefficients. The analyst's g…