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Introductory statistics
Linear regression and correlation
Regression (textbook cost)
Regression (textbook cost)
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Names:
Student learning outcomes
The student will calculate and construct the line of best fit between two variables.
The student will evaluate the relationship between two variables to determine if that relationship is significant.
Collect the data Survey ten textbooks. Collect bivariate data (number of pages in a textbook, the cost of the textbook).
Complete the table.
Number of pages
Cost of textbook
Which variable should be the dependent variable and which should be the independent
variable? Why?
Graph “pages” vs. “cost.” Plot the points on the graph in
Analyze the Data . Label both axes with words. Scale both axes.
Analyze the data Enter your data into your calculator or computer.
Write the linear equation, rounding to four decimal places.
Calculate the following:
a = ______
b = ______
correlation = ______
n = ______
equation:
y = ______
Is the correlation significant? Why or why not? (Answer in complete sentences.)
Supply an answer for the following senarios:
For a textbook with 400 pages, predict the cost.
For a textbook with 600 pages, predict the cost.
Obtain the graph on your calculator or computer. Sketch the regression line.
Discussion questions
Answer each question in complete sentences.
Does the line seem to fit the data? Why?
What does the correlation imply about the relationship between the number of pages and the cost?
Are there any outliers? If so, which point(s) is an outlier?
Should the outlier, if it exists, be removed? Why or why not?
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Source:
OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18
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