Exam 12: Simple Linear Regression

A measure of the strength of the relationship between two variables is the

Given below are seven observations collected in a regression study on two variables, x (independent variable) and y (dependent variable). Use Excel to develop a scatter diagram and to compute the least squares estimated regression equation.

Exhibit 12-1 A regression analysis resulted in the following information regarding a dependent variable (y) and an independent variable (x). -Refer to Exhibit 12-1. The coefficient of determination equals

Part of an Excel output relating X (independent variable) and Y (dependent variable) is shown below. Fill in all the blanks marked with "?".

A company has recorded data on the weekly sales for its product (y) and the unit price of the competitor's product (x). The data resulting from a random sample of 7 weeks follows. Use Excel to develop a scatter diagram and to compute the least squares estimated regression equation and the coefficient of determination.

Shown below is a portion of a computer output for a regression analysis relating y (dependent variable) and x (independent variable). a.Perform a t test and determine whether or not y and x are related. Use   0.05. b.Compute the coefficient of determination and fully interpret the meaning. Be very specific.

The following data represent the number of flash drives sold per day at a local computer shop and their prices. a.Develop a least-squares regression line and explain what the slope of the line indicates. b.Compute the coefficient of determination and comment on the strength of relationship between x and y. c.Compute the sample correlation coefficient between the price and the number of flash drives sold. Use = 0.01 to test the relationship between x and y.