If \u201cr\u201d between two variables is zero, it doesn\u2019t mean that there is no relationship between the variables.<\/p>\n
\u00a0<\/strong><\/p>\n Justification:<\/strong><\/p>\n <\/p>\n Condition-1-<\/strong>If \u201cr\u201d is near +1, it represents positive correlation b\/w two variables. If one will increase other will increase too and vice versa.<\/p>\n <\/p>\n Condition-2-<\/strong>If \u201cr\u201d is near -1, it represents negative correlation b\/w two variables. If one will increase other will decrease and vice versa.<\/p>\n <\/p>\n Condition-3-<\/strong>If \u201cr\u201d is zero, it has neither positive nor negative correlation; there are relationships b\/w two variables which are random, uncertain, weak correlation. We can\u2019t say that there is no relationship if correlation is zero.<\/p>\n","protected":false},"excerpt":{"rendered":" If \u201cr\u201d between two variables is zero, it doesn\u2019t mean that there is no relationship between the variables. \u00a0 Justification: Condition-1-If \u201cr\u201d is near +1, it represents positive correlation b\/w two variables. If one will increase other will increase too and vice versa. Condition-2-If \u201cr\u201d is near -1, it represents negative correlation b\/w […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[32],"tags":[],"class_list":["post-557","post","type-post","status-publish","format-standard","hentry","category-software-engineering-perspective"],"acf":[],"yoast_head":"\n