In simple language , auto corelation is the relation between 2 error terms, of different times.
No auto corealtion means that covariance between them is 0. The variable that were a part of error term at time i are not the part of error term at time j.
it is the similarity between observations as a function of the time lag between them.
Heteroscedasticity means that the variance of our error term is not constant. It means that as X changes the variance of our error term u also increases or decreases. As we see in figure, as X increases the noise term is also increasing with it. The distance is not constant

a) What is meant by the term auto-correlation? b) What is meant by the term heteroskedasticity?
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context of the classical linear regression model. How can we detect the presence of heteroskedasticity? Be specific. Should anything be done about heteroskedasticity if it is detected? If so, what should be done? Be specific. If not, why not?
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context...
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context of the classical linear regression model. How can we detect the presence of heteroskedasticity? Be specific. Should anything be done about heteroskedasticity if it is detected? If so, what should be done? Be specific. If not, why not?
5. What do we mean by the term "heteroskedasticity"? Describe the consequences of heteroskedasticity for estimation and inference within the context...
Heteroskedasticity is a problem with the a. dependant variables b. independent vriables c. the error term d. the choice of variables and what has been ommitted Does ommitting a variable in our regression always cause OMMITTED VARIABLE BIAS a. Yes b. “Yes, if the R^2 is low" c. No d. “Yes, if the R^2 is high" Imperfect multicolinearity a. affects the standard...
12. What is heteroskedasticity, and what are the consequences of it? How do we detect heteroskedasticity?
What is meant by the term ‘conversion costs’?
what is meant by the term capital structure?
Correlation, Regression, Chi-Square and F Distributions and Nonparametric Statistics. Explain in detail what is meant by correlation. a. Give three examples of a positive correlation and three examples of a negative correlation. b. Describe at least one lurking variable for each of the correlations provided in part a. c. Describe one outlier that could occur with each of your examples from part a.
2A. Within an Ethernet, what is meant by the term collision? B. Describe the collision detection and recovery process used in an Ethernet LAN
Explain what is meant by the term "constructive delay"?
1. What is consideration and what is meant by the term "the exchange of consideration"? What makes a valid offer? Explain the term revocation and counteroffer.