Summary: This module is a quiz containing 10 multiple choice questions covering topics related to linear regression and correlation. This module is part of a set of companion resources to Collaborative Statistics (col10522) by Barbara Illowsky and Susan Dean.
If there is a linear relationship between the quantity of food a person consumes per day and the person’s weight, the quantity of food a person consumes per day is the ______________.
A correlation coefficient for 9 pairs of data is calculated to be -0.213. Is the relationship between the variables statistically significant?
Consider the following pairs of data (independent variable given first):
(17, 56); (13, 48); (35, 65); (89, 146); (55, 121); (86, 130)
Calculate the Least Squares Line.
A correlation coefficient for 6 pairs of data is calculated to be 0. Then,
A study is done to see if there is a linear relationship between the life expectancy of an individual and the year of birth. The year of birth is the ______________.
If you determine a point is an outlier, you would
Consider the following pairs of data (independent variable given first):
(17, 56); (13, 48); (35, 65); (89, 146); (55, 121); (86, 130)
Find the estimated y for an x-value of 40.
A study is done to see if there is a linear relationship between the calendar year and the population of a particular country. The calendar year is the ______________.
Consider the following pairs of data (independent variable given first):
(16, 56); (10, 98); (35, 105); (4, 70); (12, 121)
The relationship between the two variables is ______________.
Consider the following pairs of data (independent variable given first):
(16, 56); (10, 98); (35, 105); (4, 70); (12, 121)
The regression line is ______________.