Delete any variable that is not statistically significant and re-run the regression. Note - leave House Age in because its P-value is very close to .05.
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Delete any variable that is not statistically significant and re-run the regression. Note - leave House Age in because its P-value is very close to .05.
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- Data: 20162712199153111420730423197252872623211164262529222297256192320131527182323281161710 Name: Zeeshan Fayyaz Registration No: MS120192035Data Set 494 431 423 447 442 428Top 50 Metro Areas by Population: Personal Income, Population, Per Capita Personal Income Rank Metro GeoName Total Metro Personal Income 2020 (000s) Per Capita Personal Income 2020 Population 2020 (millions) # of NFL, NBA, MLB, NHL teams 1 New York-Newark-Jersey City, NY-NJ-PA 1574364671 82322 19.124359 9 2 Los Angeles-Long Beach-Anaheim, CA 915132543 69805 13.109903 6 3 Chicago-Naperville-Elgin, IL-IN-WI 636555184 67671 9.406638 5 4 Dallas-Fort Worth-Arlington, TX 473604117 61554 7.694138 4 5 Houston-The Woodlands-Sugar Land, TX 428500645 59893 7.154478 3 6 Washington-Arlington-Alexandria, DC-VA-MD-WV 485550913 76771 6.324629 4 7 Miami-Fort Lauderdale-Pompano Beach, FL 396247347 64190 6.173008 4 8 Philadelphia-Camden-Wilmington, PA-NJ-DE-MD 425748748 69705 6.107906 4 9 Atlanta-Sandy Springs-Alpharetta, GA 357795984 58773 6.087762 3 10 Phoenix-Mesa-Chandler, AZ 262362901 51851 5.059909 4 11…
- Abdomen data: 83.0, 87.9, 85.2, 88.6, 77.1, 85.3, 100.0, 94.4, 81.9, 88.5, 82.5, 100.5, 76.5, 86.4, 90.7, 83.6, 106.8, 77.6, 102.9, 90.9, 79.7, 73.9, 79.1, 72.8, 88.2, 100.1, 89.6, 95.9, 98.8, 76.3, 83.5 105.0, 90.8, 83.5, 84.5 101.8, 76.6, 76.4, 88.7, 92.4, 81.2, 91.6, 97.5, 80.0, 88.7, 100.5, 95.6, 92.1, 96.4, 74.6, 83.4, 106.0, 96.4, 92.8, 95.1, 90.4, 100.4, 115.9, 90.8, 81.9, 75.0, 90.3, 90.3, 108.8, 79.4, 83.2, 110.3, 91.6, 92.7, 76.0, 79.5, 86.1, 104.5, 104.6 Assume that the abdomen circumference of males have a distribution that isapproximately bell-shaped. Using the mean (= 89.7) and standard deviation (=9.9) as estimates of the population mean and standard deviation, a. Construct a diagram, using the Empirical Rule, to illustrate the percentagesof data values in each of the 8 sections that diagram includes.b. Between what two measurements will about 95% of the abdomencircumferences fall?The accompanying data file shows the square footage and associated property taxes for 20 homes in an affluent suburb 30 miles outside of New York City. Property_Taxes Size 21928 2449 17339 2479 18229 1890 15693 1000 43988 5665 33684 2573 15187 2200 16706 1964 18225 2092 16073 1380 15187 1330 36006 3016 31043 2876 42007 3334 14398 1566 38968 4000 25362 4011 22907 2400 16200 3565 29235 2864 1.Estimate a home’s property taxes as a linear function of the size of the home (measured by its square footage). Note: Round your answers to 2 decimal places. 2.What proportion of the sample variation in property taxes is explained by the home’s size? Note: Round your answer to 2 decimal places. 3. What proportion of the sample variation in property taxes is unexplained by the home’s size? Note: Round your answer to 2 decimal places.Finish times (to the nearest hour) for 57 dogsled teams are shown below. Make a dotplot for the data. 261 271 236 244 279 296 284 299 288 288 247 256 308 360 341 333 261 266 287 296 313 311 307 307 299 303 277 283 304 305 288 290 288 289 297 299 332 330 309 328 307 328 285 291 295 298 306 315 310 318 318 318 333 321 323 324 327
- A point estimate of a population consists of how many numbers?A given data:891, 937, 959, 1017, 1047, 1097, 1169, 1173, 1184, 1235, 1266, 1345, 1353, 1357, 1391, 1414, 1453, 1524, 1557, 1581, 1583, 1590, 1658, 1685, 1690, 1734, 1744, 1765, 1776, 1783, 1783, 1790, 1797, 1849, 1862, 1888, 1894, 1895, 1901, 1906, 1928, 1941, 1949, 1952, 1960, 2022, 2037, 2048, 2052, 2058, 2067, 2103, 2109, 2113, 2163, 2178, 2240, 2245, 2269, 2288, 2452, 2651, 2668, 2886, 2921, 3045, 3276, 3356, 3439, 3749, 4387, 4437, 4578, 4899, 5000, 5290, 5404, 5867, 6128, 6666, 7103, 7757, 7999, 8019, 8773, 9296, 9475, 9595, 9838, 10016 We need to create a frequency distribution table show your solutionsThe variable height that is measured into short and tall groups is considered a variable. qualitative continuous survey quantitative
- The following table shows the square footage of houses in an area that sold recently along with the selling price. Sq. Ft. Price 2096, 295000, 3160, 338000, 2320, 265000, 3150, 365000, 2760, 330000, 3650, 412000, 2125, 320000, 3085, 342000, 4750, 485000, 2100, 320000, 3100, 316000, 2240, 321000, 3300, 347000, 2800, 350000, 2825, 330000, 3275, 420000 1. Find the equation of the regression line (line of best fit). 2. Determine if there is a strong linear correlation. 3. If there is a strong linear correlation predict the selling price of a 3333 sq. ft. homeAssuming the data displayed in whole number. What is the the largest value?a flute instructor examined student progress