The standard error may be assumed to be large if the data are clustered close to the regression line. True or False

FALSE

Explanation:

Standard Error is the standard deviation of sampling distribution. It is a statistic estimate of population parameter standard deviation.

It is a measure of dispersion of sample means around population means. It indicates that how accurate the mean of any given sample from the population, is likely to be compared to true population mean.

So: If standard error is small , the real data is clustered close to the estimated regression line. And - If standard error is large , the real data is spread far from the estimated regression line.

there are conflicting perceptions. what cannot be denied is that despite a long history of discrimination, they finally chose to bow out in grace and handed over power to the majority. it was a painful experience for them to part with their prerogatives and some chose to leave the country. however, they did decide to bite the bullet and go through the process with minimum obstructions.

presently, whites are still a force to reckon with. they are well educated, have technical and business expertise, they understand imperatives of good governance and are responsible for keeping south africa connected with developed countries. despite a bitter history, they are useful team members of the south african team.