1. What is the first step when analyzing data before doing statistics? Why is this step important?
2. In the equation y=a+bX, what letter represents slope?
3. What is the difference between correlation and regression tests?
4. Explain how we know that sun exposure causes skin cancer, what type of study was done?
5. What is the criteria for a "best" fit line for a set of data?
6. What is the fallacy of regression?
7. What are the assumptions of correlations and linear regression?
8. What is SSerror? Should this value be minimized or maximized for best fit line?

Consider the following XY data values.

1. What is the slope of the "best fit" linear regression line through these data values? Slope = _____
2. What is the Y-intercept of the "best fit" linear regression line through these data values? Y int. = _____
3. What are each of the values to theSStotal = _______right?SSregression =_______

SSerror = _______

doing an ANOVA to test the significance of this slope. F = ______

E. Is the slope of the "best fit" line significantly YES NO different from zero?

D. Provide the F value you obtain when

F. Provide the correlation coefficient and coefficient of determination. r = _____ , R2 = ______

G. In the blank graph below, show the data points and an accurate depiction of the best fit line. Note: for the best fit line draw it for the entire range of X values, all the way from zero to 15.

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