Team Project Assignments

Statistics Lab

1

correlation & regression

Submit after you review your feedback from SPSS assignment 10.

At the bottom of this page, you will see which continuous interval/ratio variables I want your team to correlate. You will run a Pearson Correlation on them to see if and how they are related to each other. You will need a scatterplot for each graph. Finally, you will run a multiple regression analysis. Fun stuff!!

Each team will create and submit several pptx slides. The first set of slides will contain your correlation information and scatterplots (use EXCEL to create the scatterplots and probably do not include more than 2-3 scatterplots per slide). The next slide will have a table to show the results of the regression. The last set of slides will contain the relevant SPSS output with the numbers used hi-lighted. Be sure to report the statistical results in correct APA format. Please see this sample pptx for what goes on the correlation and multple regression slides

Please let me know if you have any questions!

Climate Change: First, find the correlations between; threat_new, human_activity, CC_evidence, and trust_scientists. For each variable and threat_new, create a scatterplot with the best fit line inserted. Make sure to put threat_new on the y-axis each time. You should have three scatterplots. Next, go to select cases and for "gender_new" specify IF "gender_new<2". This will exclude the few participants who were non-binary. Finally, run a multiple regression. The predicted variable is threat_new and the predictors are gender_new, human_activity, CC_evidence, and trust_scientists. 

Gun Violence:  First, find the correlations between; restriction_support, people_kill_people, serious_problem, and needs_many_few. For each variable and restriction_support, create a scatterplot with the best fit line inserted. Make sure to put serious_problem on the y-axis each time. You should have 3 scatterplots. Next, go to select cases and for "gender_new" specify IF "gender_new<2". This will exclude the few participants who were non-binary. Finally, run a multiple regression. The predicted variable is restriction_support and the predictors are gender_new, victim_self_new, victim_other_new, people_kill_people, serious_problem, and needs_many_few.

 

American Immigrants: First, find the correlations between; negative_opinions, positive_opinions, personal_experience_discrim, and close_to_immigrants. For each variable and negative_opinions, create a scatterplot with the best fit line inserted. Make sure to put negative_opinions on the y-axis each time. You should have 3 scatterplots. Next, go to select cases and for "gender_new" specify IF "gender_new<2". This will exclude the few participants who were non-binary. Finally, run a multiple regression. The predicted variable is negative_opinions and the predictors are gender_new, religion_new, and close_to_immigrants.

Perceptions of discrimination SUU-UT-USA:  coming soon

Transgender discrimination:  coming soon

COVID vaccines and other mandates:  coming soon