This week, we are looking at the relationship between quantitative variables. We will concentrate on two variables for the purpose of this Discussion. We will be looking at the direction\u2014positive or negative\u2014and the strength\u2014weak, moderate, or strong\u2014of the correlation. There are no hard and fast rules on what numbers mean weak, moderate, or strong correlations; however, here is a rule of thumb: <\/p>\n
0 < 0.4 weak
0.4 < 0.6 moderate
0.6 \u2013 1 strong, where the numbers can be positive or negative. <\/p>\n
Remember that you can only \u201cprove\u201d that one variable \u201ccauses\u201d another by using an experiment. Be skeptical of observational studies that claim causation. <\/p>\n
To prepare for this Discussion: <\/p>\n
Review the following resources: <\/p>\n
Discussion Resources (click to expand\/reduce) <\/p>\n
Discussion Videos <\/p>\n
Finding Correlation Using Statdisk (4m)
Statdisk to Find r (2m)
StatCrunch: Creating Scatterplots (5m)
Discussion Documents <\/p>\n
Scatterplots\u00a0(PDF)
Correlation\u00a0(PDF)<\/p>\n
Look at the data set that you used in Discussion 1 and\/or 2. In order to do this week\u2019s Discussion, you will need to have two quantitative variables that you think might be related. In other words, changes in one variable result in changes in the other variable.\u00a0 If you do not have two variables like this in your data set, add another variable.\u00a0 <\/p>\n
Example: (click to expand\/reduce) <\/p>\n
Review the rubric that will be used for grading.\u00a0\u00a0 <\/p>\n
With these thoughts in mind: <\/p>\n
By Day 1 <\/p>\n
By the end of Day 1, you can post your scenario and data for your Instructor to review.\u00a0 If you don\u2019t submit this by the end of Day 1, you will need to proceed to submit the entire Discussion on Day 3.<\/p>\n
By Day 3 <\/p>\n
Post a 1- to 2-paragraph write-up that includes the following: <\/p>\n","protected":false},"excerpt":{"rendered":"
This week, we are looking at the relationship between quantitative variables. We will concentrate on two variables for the purpose of this Discussion. We will be looking at the direction\u2014positive or negative\u2014and the strength\u2014weak, moderate, or strong\u2014of the correlation. There are no hard and fast rules on what numbers mean weak, moderate, or strong correlations; […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[31],"class_list":["post-25882","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-statistics"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/25882","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=25882"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/25882\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=25882"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=25882"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=25882"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}