The College of Natural Science and Mathematics at CSULB is looking into the rate

Question

The College of Natural Science and Mathematics at CSULB is looking into the rate of students missing lecture during spring semester. They record the number of students missing from all 300 level and above classes each day, as well as the high temperature for the day. The head of the CNSM has asked you to analyze the data and report any findings to him. Students Skipping Temperature (F) 57 89 73 96 105 39 86 84 69 47 53 53 65 80 80 67 91 75 62 61 60 23. What type analysis should be used to evaluate this data set? a. Two-factor ANOVA d. One-way ANOVA b. One Sample t Test e. Correlation c. Regression 24. What results below match the correct analysis? a. r=0.847, p=0.001 d, R-56.77%, p=0.007 b. R2=75.33%, p=0.007 e. None of the above c. r-0.753, p-0.007 25. With the analysis conducted, are you able to determine if temperature causes students to skip class? a. No -this analysis cannot imply causation, the results only suggest a relationship between the two variables b. Yes- increases in temperature causes students to skip class c. Yes-There is a negative relationship: low temperatures results in more students skipping class d. No -the correlation coefficient is not sufficiently large enough to imply causation e. I have no idea.

Explanation / Answer

23) Option C is Correct. We will do Regression analysis and determine whether temperature has any effect on making the students skip the class.

24) Put the data in excel and find Correlation coefficient , we get r = 0.753 and p value = 0.007

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