Explore BrainMass

Explore BrainMass


    This content was COPIED from BrainMass.com - View the original, and get the already-completed solution here!

    1)Go out and find at least 20 observations of ordered-pair data where one variable (X) is independent and (Y) is dependent.
    Here is my problem:
    Consider the following table, which contains measurements on two variables for ten people: the number of hours the person spent riding a bicycle in the past week and the number of months the person has owned the bicycle. Present a scatter plot for this information with the number of hours along the vertical axis and the number of months owned along the horizontal axis.

    Person 1 2 3 4 5 6 7 8 9 10
    Hours Exercised 5 2 8 3 8 5 5 7 10 3
    Months Owned 5 10 4 8 2 7 9 6 1 12

    2)Make a scatter plot where the X variable is on the horizontal axis and the Y variable is on the vertical axis.

    Don't know how ?

    3)Run a simple linear regression using the data. Display the regression question. Describe the interpretation of the slope coefficient in relation to the data you gathered.

    Don't understand this

    4)Display R-Squared and provide an interpretation of the coefficient of determination in relation to your example.

    5)Use your regression equation to provide a forecast estimate of the dependent variable Y when a particular X variable is selected. You get to select whatever X variable you like within the relevant range of your data set.

    © BrainMass Inc. brainmass.com March 4, 2021, 11:08 pm ad1c9bdddf

    Solution Summary

    The solution does a great job of explaining the concepts being asked in the question. The solution goes into a lot of detail and explains the concepts very well. The steps are laid out and the solution is very easy to follow along. Overall, an excellent response to the question being asked.