Short Answer
An analyst is interested in the relationship between number of children a person has (the independent variable) and exam grade (the dependent variable). She regresses exam grade on number of children. The equation for the best-fitting straight line is
GRADE = 75 + 5(CHILDREN)
A) For every additional child, what happens to the predicted grade? (State both the amount of change and the direction.)
B) One student has three children. What was that student's predicted grade?
C) If one student has 0 children and received a grade of 90, what was that student's regression residual?
D) Does the best fitting straight line through the scatterplot rise or fall as it moves to the right? (rise or fall)
Correct Answer:

Verified
a. increas...View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Correct Answer:
Verified
View Answer
Unlock this answer now
Get Access to more Verified Answers free of charge
Q25: The Pearson's r for variables D and
Q26: The multiple correlation coefficient (R) indicates _
Q27: How does a scatterplot indicate the direction
Q28: Pearson's r is the appropriate measure of
Q29: What does a positive regression residual mean?<br>A)
Q31: Number of children is regressed on years
Q32: The best way to visually portray the
Q33: Which of the following is most appropriate
Q34: What information does an unstandardized coefficient provide?
Q35: The Pearson's r for variables D and