The value of the Durbin Watson test statistic in a regression with 4 regressors (including the constant term) estimated on 100 observations is 3.6. What might we suggest from this? 

The assumption that the regressors are non-stochastic is violated

A model with many lags may lead to residual non-normality

Adding lags may induce multicollinearity with current values of variables

The standard errors of the coefficients will fall as a result of adding more explanatory variables

Close to zero

Close to two

Close to four

Close to one

A white noise process

A covariance stationary process

An autocorrelated process

A moving average process

All roots of the characteristic equation must lie outside the unit circle

All roots of the characteristic equation must lie inside the unit circle

All roots must be smaller than unity

At least one of the roots must be bigger than one in absolute value

The current value of y

Zero

The historical unweighted average of y

An exponentially weighted average of previous values of y

-0.1

0.27

-0.34

-0.31

0

1

2

3

Rank order

Constant sum scale

Q-sort

Stapel scale

Likert

Stapel

Semantic differential

Rank order

Y là tiêu dùng , X là thu nhập của một người

Y là doanh số bán bia Hà Nội, X là giá bia Sài Gòn

Y là mức cung một loại hàng, X là giá loại hàng đó

Y là mức cầu một loại hàng, X là giá của loại hàng đó