- MULTIPLE CHOICE . If we use regression to predict the value of Y given a certa

Question

- MULTIPLE CHOICE. If we use regression to predict the value of Y given a certain known X, then this statistic tells us, on average, how far off our prediction will be.

A) .Standard Deviation

B) .Standard error of the estimate

C) .R-squared (r2)

D).Correlation coefficient

- Multiple Choice. In a positve correlation graph, if we were to do a regression calculation using these two variables, and if we knew that Zx = 1.3, which would be more likely:

a).That Zy is fairly close to 1.3

b) .That Zy is fairly close to -1.3

- In which of the scatterplots will the Standard Error of the Estimate be lowest out of positve scatterplot, negative scatterplot, and no correlation scatterplot? In other words, if we were to do regression, in which scatterplot would there be the least amount of error in our prediction?

Explanation / Answer

1)option B is correct

B) .Standard error of the estimate

2)option A is correct ; as correlation is positive

a).That Zy is fairly close to 1.3

3)

for we know that std error depdends on godd the scatter plot fits the data on regression line;

least would be in case of  positve scatterplot or negative scatterplot whcih ever has higher correlation

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