Question

Suppose we fit the least-squares regression line to a set of data. If a plot of the residuals against the explanatory variable shows a curved pattern, what can we conclude? Select one: a. The correlation must be positive. b. Outliers must be present. c. The correlation must be 1. d. A straight line is not a good description of the relationship. e. A straight line is a good description of the relationship. In a simple linear regression of Y on X, suppose the residual value at a specific observed data X (1) is 0.59. What can we conclude? Select one: a. The predicted value Y-predicted (1) is below the linear regression line b. The predicted value Y-predicted (1) is above the linear regression line c. The observed value Y (1) is above the linear regression line. d. The observed value Y (1) is below the linear regression line e. The observed value Y (1) is on the linear regression line.

          Suppose we fit the least-squares regression line to a set of data. If a plot of the residuals against the explanatory variable shows a curved pattern, what can we conclude?

Select one:
a. The correlation must be positive.
b. Outliers must be present.
c. The correlation must be 1.
d. A straight line is not a good description of the relationship.
e. A straight line is a good description of the relationship.

In a simple linear regression of Y on X, suppose the residual value at a specific observed data X (1) is 0.59. What can we conclude?

Select one:
a. The predicted value Y-predicted (1) is below the linear regression line
b. The predicted value Y-predicted (1) is above the linear regression line
c. The observed value Y (1) is above the linear regression line.
d. The observed value Y (1) is below the linear regression line
e. The observed value Y (1) is on the linear regression line.

Suppose we fit the least-squares regression line to a set of data. If a plot of the residuals against the explanatory variable shows a curved pattern, what can we conclude?

Select one:
a. The correlation must be positive.
b. Outliers must be present.
c. The correlation must be 1.
d. A straight line is not a good description of the relationship.
e. A straight line is a good description of the relationship.

In a simple linear regression of Y on X, suppose the residual value at a specific observed data X (1) is 0.59. What can we conclude?

Select one:
a. The predicted value Y-predicted (1) is below the linear regression line
b. The predicted value Y-predicted (1) is above the linear regression line
c. The observed value Y (1) is above the linear regression line.
d. The observed value Y (1) is below the linear regression line
e. The observed value Y (1) is on the linear regression line.

Added by Ignacio B.

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