1. if you have access to spss, compute the shapiro-wilk test of normality for the variable age (as demonstrated in exercise 26). if you do not have access to spss, plot the frequency distributions by hand. what do the results indicate? 2. state the null hypothesis where age at enrollment is used to predict the time for completion of an rn to bsn program. 3. what is b as computed by hand (or using spss)? 4. what is a as computed by hand (or using spss)? 332 5. write the new regression equation. 6. how would you characterize the magnitude of the obtained r2 value? provide a rationale for your answer. 7. how much variance in months to rn to bsn program completion is explained by knowing the student's enrollment age? 8. what was the correlation between the actual y values and the predicted y values using the new regression equation in the example? 9. write your interpretation of the results as you would in an apa-formatted journal. 10. given the results of your analyses, would you use the calculated regression equation to predict future students' program completion time by using enrollment age as x? provide a rationale for your answer.

Part one: measurements 1. measure your own height and arm span (from finger-tip to finger-tip) in inches. you will likely need some from a parent, guardian, or sibling to get accurate measurements. record your measurements on the "data record" document. use the "data record" to you complete part two of this project. name relationship to student x height in inches y arm span in inches archie dad 72 72 ginelle mom 65 66 sarah sister 64 65 meleah sister 66 3/4 67 rachel sister 53 1/2 53 emily auntie 66 1/2 66 hannah myself 66 1/2 69 part two: representation of data with plots 1. using graphing software of your choice, create a scatter plot of your data. predict the line of best fit, and sketch it on your graph. part three: the line of best fit include your scatter plot and the answers to the following questions in your word processing document 1. 1. which variable did you plot on the x-axis, and which variable did you plot on the y-axis? explain why you assigned the variables in that way. 2. write the equation of the line of best fit using the slope-intercept formula $y = mx + b$. show all your work, including the points used to determine the slope and how the equation was determined. 3. what does the slope of the line represent within the context of your graph? what does the y-intercept represent? 5. use the line of best fit to you to describe the data correlation.

What is the fewest number of full weeks briyana would have to work to have enough money? 8 weeks9 weeks 10 weeks11 weeks

Consider the proof. given: segment ab is parallel to line de. prove: what is the missing statement in step 5?