Stanley and Barbara are talking about how they can teach their children, Andrew and Christine, to be more prosocial. They decide that this weekend they are going to take their children to a local food kitchen and they are going to volunteer as a family. After they do so, the children both ask when they can go back and help again. In this case, Stanley and Barbara have helped inspire prosocial behavior through:

How we perceive, use, study, structure, interpret, and react to messages of time is referred to as: ?

Marian recently made the decision to try to re-wallpaper her own kitchen—which was a mistake given her personality! to compound the mistake, she selected a complex wallpaper pattern that included flowers and trees. each time she put one strip of paper on the wall, she became increasingly upset if there was not a perfect match from the pattern of one strip to the next. if one flower was off by as much as one-tenth of an inch, she would tear down the strip, remove the excess paste, and try again with the next strip. over eight hours after she started this job, she has only succeeded at putting up six strips of wallpaper, which covered about 10 percent of the room in which she was working. marian may suffer from personality disorder.

Griffin correctly concludes that the coordinate pair for the russian federation is an influential point, because removing the russian federation from the relationship will significantly change the trend of the regression line. is an influential point, because removing the russian federation from the relationship will not significantly affect the estimated coefficient of determination of the regression line. is not an influential point, because the russian federation does not have the highest cvdir of all 1111 nations in the scatterplot. is an influential point, because removing the russian federation from the relationship will not significantly affect the estimated slope of the regression line. is not an influential point, because the russian federation has a positive residual in the least-squares linear regression.