homework

· Upload your SPSS dataset file (the ones end with .sav), output file (the ones end with .spv) along with this document (Microsoft Word, ending with .doc or .docx) when you submit your assignment on Canvas.  Failing to comply with these requirements will result in zero points for your entire assignment. No exceptions!

· Late submission will also result in zero points for your assignment. No exceptions!

The Coronary Artery Initiative was founded to investigate the causes of hypercholesterolemia, a condition known to be a risk factor for atherosclerosis and heart attacks. The scientists decided to focus on cigarette smoking (sticks per day) and exercise (number of hours spent exercising per week) since prior studies have shown these variables to be associated total blood cholesterol (hypercholesterolemia). They collected data from 30 participants and saved them in a file called Hyperchol.xlsx. The three variables are: number of cigarettes smoked per day, number of hours they spent exercising per week, and total blood cholesterol level.

1. Enter your data into SPSS.      Remember to give your variables names of your choice that SPSS can      recognize. Save this dataset file to a file name of your choice. Upload      this data file to Canvas when you submit your assignment. (1 point)
2. The scientists want to see if the three variables (number of      cigarettes smoked per day, number      of hours they spent exercising per week, and total blood cholesterol level) are      significantly correlated with each other. Perform the appropriate      analysis for all possible pairs of these variables. Paste the correlation      matrix you obtained from SPSS output window to the space below. (1 point)
3. Report the results from      your analysis: (3 points)

· For the cigarettes*exercise correlation: r =  , p =  .

· For the cigarettes*cholesterol level correlation: r =  , p =  .

· For the exercise*cholesterol level correlation: r =  , p =  .

1. In full sentences please explain the relationship between      (a) cigarettes and exercise, (b) cigarettes and cholesterol level, and (c)      exercise and cholesterol level. Make sure to discuss magnitude (how strong is the relationship), direction (is this a positive or      inverse relationship), and significance      (based on the p-value, was the relationship due to something more than      chance?). (3 points)
2. Now the scientists want to      use number of hours spent sitting or lying down per day (sedentariness) to predict total blood cholesterol level. Use the same      dataset as above to perform the appropriate analysis to answer this      question. Paste the ANOVA table      you obtained from SPSS output window to the space below. (2 points)

Hint: Although you will have an ANOVA table in your output, you are not performing a One-way ANOVA or Factorial ANOVA. Pay close attention to the wording of the question.

1. State the null and      alternative hypotheses for this analysis (2 points):

H0: 

H1: 

1. Based on your ANOVA      table from the regression output, is the overall prediction/regression      model significant? Please answer in full      sentences and report the p-value from the ANOVA table to justify      your answer. (2 points)
2. Looking at your R2      value….
   1. Provide an interpretation       of how much variance in cholesterol is accounted for by sedentariness. (2 points)

(e.g., __% of variance in cholesterol is accounted for by sedentariness.)

Hint: Remember that R2 is read as “R-squared” and is mathematically equivalent to R multiplied by itself (i.e., squared).

1. Evaluate if you think       this is a decent percent accounted for, or if other variables may need to       be looked at. (1 point)

(e.g., This is a substantial amount of variance accounted for…. OR This is a low amount of variance accounted for…. I think other variables should be looked at such as…)

1. For our regression      equation, the slope (m) =    and the intercept (b) =   . Use these values to create a regression      line equation using the form: Y = mX + b (3 points)
2. How would you explain your regression      results (with numbers)? (hint:      you will use one of the      values from the regression equation above) (3 points)

(e.g., For every one unit increase in <X>, <Y> increases/decreases by ______.)

1. Obtain a scatter plot of sedentariness* cholesterol level. Paste      the scatter plot you obtained from the SPSS output window to the space      below. [Tip: Go to Graphs à      then Chart Builder] (2 points)