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.**independent variable**B.**Unable to determine**C.**dependent variable

A correlation coefficient for 9 pairs of data is calculated to be -0.213. Is the relationship between the variables statistically significant?

**A.**Unable to determine**B.**No**C.**Yes

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.**y-hat = -20.93 + 0.73x**B.**y-hat = 33.33 + 1.24x**C.**y-hat = 1.24 + 33.3x**D.**y-hat = 0.73 - 20.93x

A correlation coefficient for 6 pairs of data is calculated to be 0. Then,

**A.**there is positive correlation between the variables.**B.**the Line of Best Fit has a negative slope.**C.**there is negative correlation between the variables.**D.**the Line of Best Fit has a slope of zero.

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 ______________.

**A.**Unable to determine**B.**dependent variable**C.**independent variable

If you determine a point is an outlier, you would

**A.**ignore it.**B.**always delete it and then recalculate the line of best fit.**C.**examine it carefully and try to determine what is causing it to be an outlier.**D.**use it in the calculation of the Sum of Squared Errors.

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.**-836**B.**1334**C.**83**D.**8.3

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 ______________.

**A.**dependent variable**B.**Unable to determine**C.**independent variable

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 ______________.

**A.**linear**B.**not significant**C.**parabolic**D.**exponential

Consider the following pairs of data (independent variable given first):

• (16, 56); • (10, 98); • (35, 105); • (4, 70); • (12, 121)

The regression line is ______________.

**A.**steeply sloped downward**B.**almost horizontal**C.**steeply sloped upward