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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.

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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.

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