A linear regression with hours spent David Bourgeois @The Saylor

Question 130 / 187: A linear regression with hours spent exercising per week as the independent variable and body fat percentage as the dependent variable results in an estimated regression line, $$ \hat{Y_i}=45-3X_i $$. Assume that the predicted body fat percentage for a person that exercises for 10 hours is $$ \hat{Y_i}=15 $$, yet the actual value of the dependent variable in the sample for the person who exercises 10 hours equals 18.5. The difference is best described as which of the following?

A The slope of the regression line

B The effect of the independent variable on the dependent variable

C The effect of the dependent variable on the independent variable

D The residual

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https://www.jobilize.com/business-statistics-by-david-bourgeois-bharatendra-rai

Business Statistics

Author:

David BourgeoisLecturer

The Saylor Academy

USA

Access: Public Instant Grading

Attribution: David T. Bourgeois, PhD; Bharatendra K. Rai, PhD. Business Statistics. The Saylor Academy 2014, http://www.saylor.org/courses/bus204/

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