Question\u00a01\tShown\u00a0below\u00a0are\u00a0rental\u00a0and\u00a0leasing\u00a0revenue\u00a0figures\u00a0for\u00a0office\u00a0machinery\u00a0and\u00a0equipment\u00a0in\u00a0the\u00a0United\u00a0States\u00a0over\u00a0a\u00a0seven-year\u00a0period\u00a0according\u00a0to\u00a0the\u00a0U.S.\u00a0Census\u00a0Bureau.\u00a0Use\u00a0these\u00a0data\u00a0to\u00a0run\u00a0a\u00a0linear\u00a0regression\u00a0and\u00a0then\u00a0forecast\u00a0the\u00a0rental\u00a0and\u00a0leasing\u00a0revenue\u00a0for\u00a0the\u00a0year\u00a02012.\tYear\u00a0Rental\u00a0and\u00a0Leasing\u00a0($\u00a0millions)\t2004.\u00a02004\u00a0\u00a05,860\t2005.\u00a02005\u00a0\u00a06,632\t2006.\u00a02006\u00a0\u00a07,125\t2007.\u00a02007\u00a0\u00a06,000\t2008.\u00a02008\u00a0\u00a04,380\t2009.\u00a02009\u00a0\u00a03,326\t2010.\u00a02010\u00a0\u00a02,642\tQuestion\u00a02\tSuppose\u00a0a\u00a0researcher\u00a0gathered\u00a0survey\u00a0data\u00a0from\u00a019\u00a0employees\u00a0and\u00a0asked\u00a0the\u00a0employees\u00a0to\u00a0rate\u00a0their\u00a0job\u00a0satisfaction\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a0100\u00a0(with\u00a0100\u00a0being\u00a0perfectly\u00a0satisfied).\u00a0Suppose\u00a0the\u00a0following\u00a0data\u00a0represent\u00a0the\u00a0results\u00a0of\u00a0this\u00a0survey.\u00a0Assume\u00a0that\u00a0relationship\u00a0with\u00a0supervisor\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a050\u00a0(0\u00a0represents\u00a0poor\u00a0relationship\u00a0and\u00a050\u00a0represents\u00a0an\u00a0excellent\u00a0relationship),\u00a0overall\u00a0quality\u00a0of\u00a0the\u00a0work\u00a0environment\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a0100\u00a0(0\u00a0represents\u00a0poor\u00a0work\u00a0environment\u00a0and\u00a0100\u00a0rep\u00a0resents\u00a0an\u00a0excellent\u00a0work\u00a0environment),\u00a0and\u00a0opportunities\u00a0for\u00a0advancement\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a050\u00a0(0\u00a0represents\u00a0no\u00a0opportunities\u00a0and\u00a050\u00a0represents\u00a0excellent\u00a0opportunities).\tAnswer\u00a0the\u00a0following\u00a0questions:\tA)\u00a0What\u00a0is\u00a0the\u00a0regression\u00a0formula?\tB)\u00a0How\u00a0reliable\u00a0do\u00a0you\u00a0think\u00a0the\u00a0estimates\u00a0will\u00a0be\u00a0based\u00a0on\u00a0this\u00a0formula?\u00a0How\u00a0can\u00a0you\u00a0tell?\tC)\u00a0Are\u00a0there\u00a0any\u00a0variables\u00a0that\u00a0do\u00a0not\u00a0appear\u00a0to\u00a0be\u00a0good\u00a0predictors\u00a0of\u00a0Job\u00a0satisfaction?\u00a0How\u00a0can\tyou\u00a0tell?\tD)\u00a0If\u00a0a\u00a0new\u00a0employee\u00a0reports\u00a0that\u00a0her\u00a0relationship\u00a0with\u00a0her\u00a0supervisor\u00a0is\u00a040,\u00a0finds\u00a0the\u00a0quality\u00a0of\u00a0the\u00a0work\u00a0environment\u00a0to\u00a0be\u00a0scored\u00a0at\u00a075,\u00a0works\u00a060\u00a0hours\u00a0per\u00a0week\u00a0and\u00a0rates\u00a0her\u00a0opportunities\u00a0for\u00a0advancement\u00a0to\u00a0be\u00a0at\u00a030,\u00a0what\u00a0would\u00a0you\u00a0expect\u00a0her\u00a0job\u00a0satisfaction\u00a0score\u00a0to\u00a0be?\tJob\u00a0satisfaction\t55\t20\t85\t65\t45\t70\t35\t60\t95\t65\t85\t10\t75\t80\t50\t90\t75\t45\t65\tRelationship\u00a0with\u00a0supervisor\tOverall\u00a0quality\u00a0of\u00a0work\u00a0environment\tTotal\u00a0hours\u00a0worked\u00a0per\u00a0week\tOpportunities\u00a0for\u00a0advancement\tQuestion\u00a03\t27\u00a065\u00a012\u00a013\u00a040\u00a079\u00a035\u00a053\u00a029\u00a043\u00a042\u00a062\u00a022\u00a018\u00a034\u00a075\u00a050\u00a084\u00a033\u00a068\u00a040\u00a072\u00a0510\u00a037\u00a064\u00a042\u00a082\u00a031\u00a046\u00a047\u00a095\u00a036\u00a082\u00a020\u00a042\u00a032\u00a073\t50\u00a042\u00a060\u00a028\u00a045\u00a07\u00a065\u00a048\u00a040\u00a032\u00a050\u00a041\u00a075\u00a018\u00a040\u00a032\u00a045\u00a048\u00a060\u00a011\u00a055\u00a033\u00a050\u00a021\u00a045\u00a042\u00a040\u00a046\u00a060\u00a048\u00a055\u00a030\u00a070\u00a039\u00a040\u00a022\u00a055\u00a012\tInvestment\u00a0analysts\u00a0generally\u00a0believe\u00a0the\u00a0interest\u00a0rate\u00a0on\u00a0bonds\u00a0is\u00a0inversely\u00a0related\u00a0to\u00a0the\u00a0prime\u00a0interest\u00a0rate\u00a0for\u00a0loans;\u00a0that\u00a0is,\u00a0bonds\u00a0perform\u00a0well\u00a0when\u00a0lending\u00a0rates\u00a0are\u00a0down\u00a0and\u00a0perform\u00a0poorly\u00a0when\u00a0interest\u00a0rates\u00a0are\u00a0up.\u00a0Can\u00a0the\u00a0bond\u00a0rate\u00a0be\u00a0predicted\u00a0by\u00a0the\u00a0prime\u00a0interest\u00a0rate?\tUse\u00a0the\u00a0following\u00a0data\u00a0to\u00a0construct\u00a0a\u00a0scatter\u00a0graph\u00a0and\u00a0then\u00a0fit\u00a0a\u00a0regression\u00a0line\u00a0to\u00a0the\u00a0data.\u00a0Report\u00a0the\u00a0regression\u00a0formula\u00a0and\u00a0the\u00a0r-squared\u00a0value\u00a0from\u00a0the\u00a0chart\u00a0(right\u00a0click\u00a0on\u00a0the\u00a0line,\u00a0select\u00a0“Add\u00a0Trendline”\ufffd\u00a0and\u00a0select\u00a0options\u00a0to\u00a0show\u00a0th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Question\u00a01 Shown\u00a0below\u00a0are\u00a0rental\u00a0and\u00a0leasing\u00a0revenue\u00a0figures\u00a0for\u00a0office\u00a0machinery\u00a0and\u00a0equipment\u00a0in\u00a0the\u00a0United\u00a0States\u00a0over\u00a0a\u00a0seven-year\u00a0period\u00a0according\u00a0to\u00a0the\u00a0U.S.\u00a0Census\u00a0Bureau.\u00a0Use\u00a0these\u00a0data\u00a0to\u00a0run\u00a0a\u00a0linear\u00a0regression\u00a0and\u00a0then\u00a0forecast\u00a0the\u00a0rental\u00a0and\u00a0leasing\u00a0revenue\u00a0for\u00a0the\u00a0year\u00a02012. Year\u00a0Rental\u00a0and\u00a0Leasing\u00a0($\u00a0millions) 2004.\u00a02004\u00a0\u00a05,860 2005.\u00a02005\u00a0\u00a06,632 2006.\u00a02006\u00a0\u00a07,125 2007.\u00a02007\u00a0\u00a06,000 2008.\u00a02008\u00a0\u00a04,380 2009.\u00a02009\u00a0\u00a03,326 2010.\u00a02010\u00a0\u00a02,642 Question\u00a02 Suppose\u00a0a\u00a0researcher\u00a0gathered\u00a0survey\u00a0data\u00a0from\u00a019\u00a0employees\u00a0and\u00a0asked\u00a0the\u00a0employees\u00a0to\u00a0rate\u00a0their\u00a0job\u00a0satisfaction\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a0100\u00a0(with\u00a0100\u00a0being\u00a0perfectly\u00a0satisfied).\u00a0Suppose\u00a0the\u00a0following\u00a0data\u00a0represent\u00a0the\u00a0results\u00a0of\u00a0this\u00a0survey.\u00a0Assume\u00a0that\u00a0relationship\u00a0with\u00a0supervisor\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a050\u00a0(0\u00a0represents\u00a0poor\u00a0relationship\u00a0and\u00a050\u00a0represents\u00a0an\u00a0excellent\u00a0relationship),\u00a0overall\u00a0quality\u00a0of\u00a0the\u00a0work\u00a0environment\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a0100\u00a0(0\u00a0represents\u00a0poor\u00a0work\u00a0environment\u00a0and\u00a0100\u00a0rep\u00a0resents\u00a0an\u00a0excellent\u00a0work\u00a0environment),\u00a0and\u00a0opportunities\u00a0for\u00a0advancement\u00a0is\u00a0rated\u00a0on\u00a0a\u00a0scale\u00a0from\u00a00\u00a0to\u00a050\u00a0(0\u00a0represents\u00a0no\u00a0opportunities\u00a0and\u00a050\u00a0represents\u00a0excellent\u00a0opportunities). Answer\u00a0the\u00a0following\u00a0questions: A)\u00a0What\u00a0is\u00a0the\u00a0regression\u00a0formula? B)\u00a0How\u00a0reliable\u00a0do\u00a0you\u00a0think\u00a0the\u00a0estimates\u00a0will\u00a0be\u00a0based\u00a0on\u00a0this\u00a0formula?\u00a0How\u00a0can\u00a0you\u00a0tell? C)\u00a0Are\u00a0there\u00a0any\u00a0variables\u00a0that\u00a0do\u00a0not\u00a0appear\u00a0to\u00a0be\u00a0good\u00a0predictors\u00a0of\u00a0Job\u00a0satisfaction?\u00a0How\u00a0can you\u00a0tell? D)\u00a0If\u00a0a\u00a0new\u00a0employee\u00a0reports\u00a0that\u00a0her\u00a0relationship\u00a0with\u00a0her\u00a0supervisor\u00a0is\u00a040,\u00a0finds\u00a0the\u00a0quality\u00a0of\u00a0the\u00a0work\u00a0environment\u00a0to\u00a0be\u00a0scored\u00a0at\u00a075,\u00a0works\u00a060\u00a0hours\u00a0per\u00a0week\u00a0and\u00a0rates\u00a0her\u00a0opportunities\u00a0for\u00a0advancement\u00a0to\u00a0be\u00a0at\u00a030,\u00a0what\u00a0would\u00a0you\u00a0expect\u00a0her\u00a0job\u00a0satisfaction\u00a0score\u00a0to\u00a0be? Job\u00a0satisfaction 55 20 85 65 45 70 35 60 95 65 85 10 75 80 50 90 75 45 65 Relationship\u00a0with\u00a0supervisor Overall\u00a0quality\u00a0of\u00a0work\u00a0environment Read More …<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-217230","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/217230","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/comments?post=217230"}],"version-history":[{"count":0,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/posts\/217230\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/media?parent=217230"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/categories?post=217230"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.benedictsol.com\/blogs\/wp-json\/wp\/v2\/tags?post=217230"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}