QUESTION1 In regression analysis error terms that have different variations are

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QUESTION1 In regression analysis error terms that have different variations are called... O a, fixed errors. O b. homoscedastic errors. O c. variable errors. O d. heteroscedastic errors QUESTION 2 The type of correlation measured by the Durbin-Watson statistic is known as O are-correlation O b. consecutive correlation. O c.autocorrelation. O d. Regression correlation. QUESTION 3 The deviations of observed responses around the conditiona means ylx are called O a' averages. O b. mistakes O c. corrections O d. errors. QUESTION 4 An interval that is designed to holda fraction (usually 95%) of the values of the response for a given value 0 a, z-interval O b. prediction interval O c, t-interval O d. confidence interval of the explanatory variable in a regression is called a QUESTION 5 In simple linear regression an outlier that is near the minimum or maximum of th O a' significant. O b. leveraged. O c. expendable. O d. a problem. explanatory variable are said to be

Explanation / Answer

Ans:

1)heteroscedastic errors (option d is correct)

heteroscedasticity is a systematic change in the spread of the residuals over the range of measured values. Heteroscedasticity is a problem because ordinary least squares (OLS) regression assumes that all residuals are drawn from a population that has a constant variance

Homoscedasticity. This assumption means that the variance around the regression line is the same for all values of the predictor variable (X).

2)Autocorrelation (option c is correct)

In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation (a relationship between values separated from each other by a given time lag) in the residuals (prediction errors) from a regression analysis.

3)errors (Option d is correct)

4)Perdiction interval (Option b is correct.)

5)leveraged (Option b is correct)

In statistics and in particular in regression analysis, leverage is a measure of how far away the independent variable values of an observation are from those of the other observations.

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