A well-researched effect in the criminal justice literature is that mock jurors in research studies are more likely to convict an African-American defendant than a White defendant when they are accused of the same crime. For this study, we wanted to know whether a measure of self-reported racial bias was correlated with or could be used to predict harshness of sentencing recommendations for an African-American defendant. Participants read a vignette where an African American defendant was tried and convicted of a crime, and they were then asked to indicate how long of a prison sentence they felt he deserved (options ranged from 0 years 7 years). They then completed a measure of self-reported racial bias, which had a minimum score of 0 (least biased) to 20 (most biased)

Please say how you put the information into SPSS! thank you!!

Enter the following data set into SPSS.

ID	Racial Bias	Sentencing Recommendation	ID	Racial Bias	Sentencing Recommendation
1	11	4	21	12	6
2	5	2	22	10	4
3	14	7	23	4	2
4	16	6	24	6	2
5	9	4	25	14	6
6	11	4	26	6	3
7	14	5	27	12	6
8	13	5	28	10	6
9	4	2	29	1	2
10	2	2	30	2	3
11	10	4
12	6	2
13	13	6
14	10	5
15	3	2
16	5	2
17	3	6
18	5	3
19	12	6
20	3	0

1. Create a scatterplot in SPSS to look at the relationship between the two variables and include it with your output. What would you say the relationship between the two variables is? (strength and direction) __________________________________
2. Now run an analysis to determine whether there is a significant correlation between the two variables. Which type of SPSS analysis is appropriate to use to answer the question above? _____________________
3. What is the mean for racial bias? __________ What is the mean for sentencing recommendations? _________
4. What is the correlation between racial bias and sentencing recommendations? __________________ Is it significant at a = .05? ______________
5. How would you describe this correlation? (strength and direction) ________________________________

Now lets say we wanted to try to predict individuals sentencing recommendations using their racial bias scores. Run the appropriate regression analysis in SPSS.

6. Which type of regression analysis in SPSS would we choose? _____________
7. What proportion of variability in sentencing recommendations can be explained by racial bias? Hint: look at R² _____________________________________
8. What is the value of our constant? _______________ How would we interpret this? __________________________________
9. What is the value of the slope of the regression coefficient? _________ Is it significantly different from 0 at a = .05? ________________
10. Interpret the regression coefficient. What does it tell us? _____________________________________________________________________

11. Write the regression equation using racial bias to predict sentencing recommendations. _______________________ .