Please answer these questions based off the data of the image attached. This data is from a test where I played a videogame 20 times to see which variable had the greatest influence on my gaming skills.

Questions:

1.What types of bias could be present in my data? Name the type(s) of bias, how it may have entered into your data set, and how the bias could affect your final conclusions.

2.Identify which pairs of variables, if any, regression analysis is appropriate to conduct. To complete this: Create the correlation coefficient and P-value matrix for the variables, and list them.

Use the measures from above to identify the pair of variables with the strongest and weakest linear relationship. Clearly indicate why

you've chosen the pairs as strongest and weakest.

*If you find that none of the pairs of your variables has a P-value less than 0.05, regression analysis is not appropriate for your variables. Mention this in your answer and provide the measures for support. For sake of fairness continue with the analysis, but make sure to mention that any conclusion or prediction you make is not appropriate.*

3.For one pair of variables that meet the above criteria, Identify a predictor variable and a response variable that you choose to analyze. Explain why you choose these as such.

Statcrunch Linear Regression project videogame data 1 StatCrunch Applets ~ Edit - Data - Stat Graph - Help - Row Date How long I play wins Level of difficu Acolades 3-24-21 2 hours 2 3-24-21 1 hour 3-24-21 3 hours 4 3-24-21 2 hours 6 3-25-21 1 hour 2 4 3-25-21 1 hour 3-25-21 1 hour 8 3-25-21 2 hours 3-26-21 1 hour 10 3-26-21 2 hours 11 3-26-21 2 hours 12 3-26-21 3 hours 2 13 3-27-21 3 hours 3 14 3-27-21 2 hours 4 15 3-27-21 2 hours 16 3-27-21 2 hours 2 6 17 3-28-21 1 hour 4 18 3-28-21 1 hour 10 W N PA 19 3-28-21 2 hours 20 3-28-21 3 hours 4