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Linear Regression KHT - Machine Learning
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Questions in this quiz (6)
1Which of these statements regarding Linear Regression is CORRECT?
- AIt allows to isolate the effect of each explanatory
- BRandom perturbation (u) is the estimation of model error (e)
- CNone of the others
- DBeta parameters are different for each observation
2According to R-squared and/or t-student test, which of the following is CORRECT?
- AR-squared is the highest correlation between Y and one of the Xs
- BThe Null Hypothesis for t-student test is "Beta population parameter is 0"
- CA t-student p-value of 0.1 means significant at 99% Confidence level
- DAdding more independent variables does not affect R-squared
3If Y and X1 are measured in logarithms, what's the interpretation of Beta(X1) coefficient (all the others constant)?
- A% of increase in Y with 1 unit increase in X1
- BUnits of increase in Y with 1 unit increase in X1
- CUnits of increase in Y with 1 % increase in X1
- DNone of the others
4How is called High correlation between explanatories variables in Linear Regression?
- AHeteroscedasticity
- BHomoscedasticity
- CAutocorrelation
- DNone of the others
5According to the image, which of the following is CORRECT, ceteris paribus and with 95% CL?
- AA stepwise method has been used
- BInfluence of X2 on Y is the highest of all Xs
- CX1 is significant at 99% Confidence Level
- DX3 Beta population could be -0.02 at 95% CL
6According to this image in which dependent variable is in Logs, which one is CORRECT (ceteris paribus and 95% CL)?
- A1% increase on X2 produces between 35% and 45% increase on Y
- B1 more unit on X2 produces between 0.35% and 0.45% increase on Y
- C1 unit increase on X1 produces between -96% and -56% increase on Y
- D1% increase on X1 produces between -0.96% and -0.56% increase on Y
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- Informática Quiz on Linear Regression KHT - Machine Learning, created by Angel Intriago on 12/12/2021.
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- Angel Intriago
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- English
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