Project #105494 - SPSS HW

Use what we refer as the “publish or perish” data. This data is a csv file located in e learning and you need to download and import it to SAS or SPSS, the name of the data is “publishperishdata.csv”. In this dataset we specified X = Years since Ph.D. (TIME), Y = Number of refereed journal publications since Ph.D. (PUBS).


⦁    Calculate the correlation between X and Y and the regression estimates for β0 and β1. (2 points).  
⦁    Make a scatter plot of the data, plot a fitted line for the equation and specify it in the plot (2 points). For subject 10 (Y10), identify the following on the plot.
(a)    The data pair (X,Y) on the plot (1 point)
(b)    The predicted E(Yh) score (1 point)
(c)    The error amount, eh (1 point)

⦁    Use the same data and continue your regression analysis by constructing 93% prediction intervals for both mean responses and individual scores.  Plot each CI on the scatter plot (SPSS users may have to produce two scatter plots).  An APA write up your regression analysis with reference to the figure(s) is required. Include in your write-up reference to the 93% CIs (mean & individual) of the predicted value for subject #10 (3 points).

Single Predictor Regression Extra Credit (1 pt)
The EC is due with Exercise 2; please use a separate attachment for it in the eLearing drop box.
Write a paragraph to review (APA format with a correct APA reference) of a primary source that utilized a one-variable linear regression.  Be sure to answer the following questions in your summary: (a) What is the general problem under study, (b) specifically what research question/hypothesis are the researchers testing within the specified analysis (i.e., 1- variable linear regression), (c) what are the criterion and predictor variables, (d) does the analysis relate to the general problem the researchers are investigating (e.g., from your answer to part (a)) and (e) what were the findings of the specific analysis?

OR

Single Predictor Regression Extra Credit (1 pt)
Using the same data set, a student tells you that we could use the years since the Ph.D. as the Y variable and the number of publications as the X variable. What do you think? Is it possible? Explain your reasoning only in one paragraph.

Subject Mathematics
Due By (Pacific Time) 01/26/2016 11:11 am
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