Regression (Distance from School) (Optional) Quiz
The question sheet
Reveal any answer as you study-
According to the outcomes, students evaluate the relationship between two variables to determine whether it is:
- Positive
- Linear
- Significant
- Symmetric
Reveal answer
Answer: Significant
Source evidence
PDF page 679: • The student will evaluate the relationship between two variables to determine whether that relationship is
PDF page 679: significant. Collect the Data Use eight members of your class for the sample. Collect bivariate data (distance an individual lives from school, the cost of supplies for the current term).
-
How many members of the class are used for the sample?
- Five
- Eight
- Twelve
- Ten
Reveal answer
Answer: Eight
Source evidence
PDF page 679: significant. Collect the Data Use eight members of your class for the sample. Collect bivariate data (distance an individual lives from school, the cost of supplies for the current term).
-
When writing the linear equation, students round to how many decimal places?
- Two
- Five
- Four
- Three
Reveal answer
Answer: Four
Source evidence
PDF page 680: Analyze the Data Enter your data into a calculator or computer. Write the linear equation, rounding to four decimal places.
-
For a person who lives eight miles from campus, students are asked to predict the:
- Correlation coefficient
- Slope of the line
- Total cost of supplies this term
- Distance from school
Reveal answer
Answer: Total cost of supplies this term
Source evidence
PDF page 680: a. For a person who lives eight miles from campus, predict the total cost of supplies this term.
-
For which distance from campus are students also asked to predict supply cost?
- 40 miles
- 80 miles
- 100 miles
- 8 miles
Reveal answer
Answer: 80 miles
Source evidence
PDF page 680: b. For a person who lives 80 miles from campus, predict the total cost of supplies this term.
-
What does the discussion ask students to determine about the fitted line?
- The number of outliers
- Whether the line seems to fit the data
- The mean of the residuals
- The value of chi-square
Reveal answer
Answer: Whether the line seems to fit the data
Source evidence
PDF page 680: a. Does the line seem to fit the data? Why?
-
The discussion asks what the correlation implies about the relationship between:
- Cost and GPA
- Distance and cost
- Time and distance
- Age and cost
Reveal answer
Answer: Distance and cost
Source evidence
PDF page 680: b. What does the correlation imply about the relationship between distance and cost?
-
Which value must students report as part of analyzing the data?
- The interquartile range
- The correlation
- The mode
- The z-score
Reveal answer
Answer: The correlation
Source evidence
PDF page 680: c. correlation = ______
-
The equation students write in analysis is expressed in which form?
- f(x) = a
- χ² = ______
- y = mx + c
- ŷ = ______
Reveal answer
Answer: ŷ = ______
Source evidence
PDF page 680: e. equation: ŷ = ______
-
How should students answer whether the correlation is significant?
- In one to three complete sentences
- With a graph only
- With a single number
- With a yes or no only
Reveal answer
Answer: In one to three complete sentences
Source evidence
PDF page 680: f. Is the correlation significant? Why or why not? (Answer in one to three complete sentences.)
-
Where do students enter their collected data for analysis?
- A calculator or computer
- A contingency table
- A stem-and-leaf plot
- A pie chart
Reveal answer
Answer: A calculator or computer
Source evidence
PDF page 680: Analyze the Data Enter your data into a calculator or computer. Write the linear equation, rounding to four decimal places.
-
The prediction tasks involve using the fitted line to estimate cost for a given:
- Distance from campus
- Class size
- GPA
- Number of supplies
Reveal answer
Answer: Distance from campus
Source evidence
PDF page 680: a. For a person who lives eight miles from campus, predict the total cost of supplies this term.
PDF page 680: b. For a person who lives 80 miles from campus, predict the total cost of supplies this term.
Statistics
Statistics by OpenStax, used under CC BY 4.0. Changes made by Stratacademy.
Make your own — free
Turn any notes into a game in under a minute. Free to start.