1) Regression:
a) is a statistical technique that is not influenced by outliers.
b) identifies the resistance of a relationship.
c) measures the strength but not the direction of a
relationship.
d) can be used for prediction.
2) The best-fitting regression line:
a) has the smallest total standard error.
b) has the smallest slope.
c) has the largest total squared error of prediction.
d) is the line with the smallest (Y – Ŷ)2 value.
If the slope (b) of the regression line equals zero, this indicates:
a) the correlation between the two variables is negative.
b) a perfect relationship between the two variables.
c) a correlation of +1.0.
d) the regression line is horizontal.
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