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New Tab HTG How to Take a Scre... FedEx Track & Ship Online... WSJ Finance Chiefs Are... us energy administr... Other bookmarks =zyBooks My library> QNT/375T: Business Data Analytics home > 5.4: Correlation and coefficient of determination EzyBooks catalog e ? Help/FAQ Britney Geyer F20 it's safer to stay in Protected View. X fx 9.8 A B C E G number of books read. 1 City 2 Atlanta, GA Single family Condo or co All homes 403,000 298,000 317,000 3 Minneapolis 331,000 291,000 323,000 Household i Unemploym Population 55,279 58,993 8.5 498044 7.5 425403 Feedback? 4 Cincinatti, C 5 San Diego, C 6 Reno, NV CHALLENGE ACTIVITY 5.4.3: Excel: Using regression to make predictions. Click this link to download the spreadsheet for use in this activity. Use the Regression function in the Data Analysis ToolPak. Specify the data range for the response variable in "Input Y Range" and the data range for the explanatory variable in "Input X Range". 466050.2243748.qx3zqy7 Jump to level 1 7 Portland, OF 8 Sioux Falls, 208,000 211,000 191,000 829,000 536,000 725,000 450,000 247,000 441,000 518,000 514,000 411,000 257,000 175,000 248,000 38,545 10.1 302605 75,456 8.8 1426000 54,916 6.9 250998 65,740 8.9 653115 59,017 3.4 181883 9 Kansas City, 10 Chicago, IL 11 Savannah, G 184,000 219,000 187,000 52,405 7.5 491918 292,000 357,000 297,000 55,198 13.8 2706000 210,000 206,000 203,000 41,093 8.8 145862 12 Bloomingtor 13 Seattle, WA 261,000 188,000 248,000 34,435 4.7 84981 14 Concord, NH A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population. 2 15 Augusta, ME 16 Des Moines, 17 Lincoln, NB 18 Nampa, ID 19 Draper, UT 20 Houston, TX 21 Memphis, TN 22 Waco, TX 23 Jackson, MS 890,000 297,000 172,000 130,000 176,000 162,000 186,000 228,000 186,000 225,000 298,000 258,000 305,000 613,000 418,000 599,000 115,618 246,000 122,000 170,000 837,000 573,000 178,000 284,000 85,562 6.6 744955 62,967 5.2 43412 40,340 5.4 18681 165,000 52,251 6.4 216853 55,224 3.2 287401 44,691 6.4 96252 4.8 48319 177,000 209,000 51,140 9.8 2326000 170,000 112,000 39,108 12.1 650618 127,000 164,000 37,735 7.0 138183 68,438 121,000 48,579 37,563 9.3 164422 24 Tampa, FL 330,000 245,000 289,000 50,909 6.9 392890 25 Atlantic City 3 What is the correlation coefficient R for the model that predicts the list price of single family homes using population as an explanatory variable? 29 R Ex: 1.234 = What is the interpretation of this correlation coefficient in context? 33 San Antonio 134,000 26 Bozeman, M 535,000 343,000 499,000 27 Las Vegas, N 333,000 183,000 318,000 28 San Francis 1,640,000 1,280,000 1,490,000 Philadelphia 209,000 30 Charlotte, N 311,000 31 Ann Arbor, N 440,000 32 Charleston, 407,000 215,000 112,000 123,000 27,786 15.8 37804 51,896 3.9 48532 54,694 14.1 644644 104,552 8.4 888305 335,000 216,000 43,744 11.7 1584000 234,000 280,000 282,000 412,000 303,000 364,000 165,000 213,000 60,886 8.1 872498 63,956 5.0 121890 64,599 4.8 133762 46,317 8.0 1487000 34 35 36 37 38 A strong correlation exists between the list price of single family homes and population. 39 40 41 42 New Tab HTG How to Take a Scre... FedEx Track & Ship Online... WSJ Finance Chiefs Are... us energy administr... Other bookmarks =zyBooks My library> QNT/375T: Business Data Analytics home > 5.4: Correlation and coefficient of determination EzyBooks catalog e ? Help/FAQ Britney Geyer F20 it's safer to stay in Protected View. X fx 9.8 A B C E G number of books read. 1 City 2 Atlanta, GA Single family Condo or co All homes 403,000 298,000 317,000 3 Minneapolis 331,000 291,000 323,000 Household i Unemploym Population 55,279 58,993 8.5 498044 7.5 425403 Feedback? 4 Cincinatti, C 5 San Diego, C 6 Reno, NV CHALLENGE ACTIVITY 5.4.3: Excel: Using regression to make predictions. Click this link to download the spreadsheet for use in this activity. Use the Regression function in the Data Analysis ToolPak. Specify the data range for the response variable in "Input Y Range" and the data range for the explanatory variable in "Input X Range". 466050.2243748.qx3zqy7 Jump to level 1 7 Portland, OF 8 Sioux Falls, 208,000 211,000 191,000 829,000 536,000 725,000 450,000 247,000 441,000 518,000 514,000 411,000 257,000 175,000 248,000 38,545 10.1 302605 75,456 8.8 1426000 54,916 6.9 250998 65,740 8.9 653115 59,017 3.4 181883 9 Kansas City, 10 Chicago, IL 11 Savannah, G 184,000 219,000 187,000 52,405 7.5 491918 292,000 357,000 297,000 55,198 13.8 2706000 210,000 206,000 203,000 41,093 8.8 145862 12 Bloomingtor 13 Seattle, WA 261,000 188,000 248,000 34,435 4.7 84981 14 Concord, NH A researcher is analyzing the relationship between various variables in housing data for 32 cities: median list prices of single family homes, condominium or co-ops, all homes, median household income, unemployment rate, and population. 2 15 Augusta, ME 16 Des Moines, 17 Lincoln, NB 18 Nampa, ID 19 Draper, UT 20 Houston, TX 21 Memphis, TN 22 Waco, TX 23 Jackson, MS 890,000 297,000 172,000 130,000 176,000 162,000 186,000 228,000 186,000 225,000 298,000 258,000 305,000 613,000 418,000 599,000 115,618 246,000 122,000 170,000 837,000 573,000 178,000 284,000 85,562 6.6 744955 62,967 5.2 43412 40,340 5.4 18681 165,000 52,251 6.4 216853 55,224 3.2 287401 44,691 6.4 96252 4.8 48319 177,000 209,000 51,140 9.8 2326000 170,000 112,000 39,108 12.1 650618 127,000 164,000 37,735 7.0 138183 68,438 121,000 48,579 37,563 9.3 164422 24 Tampa, FL 330,000 245,000 289,000 50,909 6.9 392890 25 Atlantic City 3 What is the correlation coefficient R for the model that predicts the list price of single family homes using population as an explanatory variable? 29 R Ex: 1.234 = What is the interpretation of this correlation coefficient in context? 33 San Antonio 134,000 26 Bozeman, M 535,000 343,000 499,000 27 Las Vegas, N 333,000 183,000 318,000 28 San Francis 1,640,000 1,280,000 1,490,000 Philadelphia 209,000 30 Charlotte, N 311,000 31 Ann Arbor, N 440,000 32 Charleston, 407,000 215,000 112,000 123,000 27,786 15.8 37804 51,896 3.9 48532 54,694 14.1 644644 104,552 8.4 888305 335,000 216,000 43,744 11.7 1584000 234,000 280,000 282,000 412,000 303,000 364,000 165,000 213,000 60,886 8.1 872498 63,956 5.0 121890 64,599 4.8 133762 46,317 8.0 1487000 34 35 36 37 38 A strong correlation exists between the list price of single family homes and population. 39 40 41 42