Which of the following statements are not correct? O The coefficient of determination, denoted by r^2 is interpreted as the proportion of observed y variation that cannot be explained by the simple linear regression model. O The higher the value of the coefficient of determination, the more successful is the simple linear regression model in explaining y variation. If the coefficient of determination is small, an analyst will usually want to search for an alternative model (either a nonlinear model or a multiple regression model that involves more than a single independent variable). The coefficient of determination can assume any value between 0 and 1, inclusive.
Which of the following statements are not correct? O The coefficient of determination, denoted by r^2 is interpreted as the proportion of observed y variation that cannot be explained by the simple linear regression model. O The higher the value of the coefficient of determination, the more successful is the simple linear regression model in explaining y variation. If the coefficient of determination is small, an analyst will usually want to search for an alternative model (either a nonlinear model or a multiple regression model that involves more than a single independent variable). The coefficient of determination can assume any value between 0 and 1, inclusive.
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
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