Robin Let's See if We Term Paper

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Raw Data: (X and Y each have a 1 or 2 numeric value: 1 for first born and 2 for later born; and 1 for C. grade and below and 2 for above C. grade). NOTE: I am only going to use a sample of 15 here but you should use at least 30.

X Variable (Birth Order)

Y Value (Grade Point Average)

1

1

1

2

1

2

1

2

1

2

1

2

2

1

1

2

2

1

2

1

1

1

1

2

1

1

2

2

2

2

Answer: R = -0.2887, p

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Robin ... you must do the same analysis for all other predictor variable combinations and do the same for the college female smokers. Once all correlations are calculated we can submit the data to a multiple regression analysis. Let us suppose, for example, we are looking at four predictor variables fro the list I gave earlier and we have calculated the correlation values for all combinations with these four independent or predictor values and there will be 10 combinations. Let us say these correlation values are as follows: -.28, -.16, +.34, +.28, +.19, -32, -15, +22, +.32, -21.

R2 = total proportion of Y variance accounted for by the combination of X1, X2, X3, and X4 and our obtained value is.....

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