Which of the following statements are valid assumptions of the Ordinary Least Squares regression model?
(A) Expected value of the error term is zero
(B) Heteroskedasticity
(C) The model is linear in parameters
(D) Autocorrelation
Choose the correct answer from the options given below:

Question

In a Poisson distribution, the probability mass function is given by: \(\rho(x) = \frac{e^{-2}(2)^3}{3!},\) the mean value is:

Answer 1

Key assumptions for the OLS model include:

- (A) The error term's expected value is zero.
- (C) The model is linear in its parameters.

Heteroskedasticity and autocorrelation commonly violate OLS assumptions.

Therefore, the correct answer is (d).

List-I(Statistical Concepts)		List-II(Description)
A	Power of a test	I	1- probability of making type II error
B	Multicollinearity	II	Where the sample mean differs from the population mean
C	Biased estimator	III	Correlation between explanatory variables in a regres sion
D	White noise error	IV	Errors with zero mean and constant standard deviation

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