1. You are selling candy bars for a fundraiser and you are wondering about the relationship between hours selling and a number of candy bars sold. You asked your team of five salespeople to keep track of hours spent selling and a number of candy bars sold.

Person	# of Hours	Candy Sold
1	3	55
2	12	40
3	6	55
4	20	10
5	14	15

1. Develop a scatter plot diagram for these data
2. What does the scatter plot indicate about the relationship between the two variables?
3. Try to approximate the regression line (draw what you think)
4. Develop the estimated regression equation by computing the values of b₀ and b₁
5. Interpret the b₁ coefficient from your estimated regression equation (hint, b₁ tells us how y is impacted by x).
6. Use your regression equation to predict the value of y when x is 10.
7. Compute SSE,SST, and SSR
8. Compute the coefficient of determination (r²). Comment on the goodness of fit
9. Compute the sample correlation coefficient. Base on your results, is your model a good predictor of the relationship between a number of hours selling, and candy bars sold?

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