For each exercise you are given two lists of data. Paste the data into Excel and calculate the regression results, using the A column as the independent variable. Answers are given following the data for each exercises.
A1 B1 1: 10 34 2: 12 41 3: 14 6 4: 16 9 5: 18 31 6: 20 20 7: 22 32 8: 24 1 9: 26 16 10: 28 15 11: 30 20 12: 32 24 13: 34 35 14: 36 33 15: 38 19 16: 40 22 17: 42 50 18: 44 6 19: 46 35 20: 48 35 Slope: 0.206 Intercept: 18.226 R squared: 0.035 Correlation: 0.187 Covariance: 27.400 Squared error: 3116.304 Mean square error: 173.128 Estimated stand dev: 13.158 T statistic: 0.808 18 Degrees of freedom F statistic: 0.652 1, 18 Degrees of freedom
There is no connection between these variables.
A2 B2 1: 10 252 2: 12 300 3: 14 348 4: 16 396 5: 18 444 6: 20 492 7: 22 540 8: 24 588 9: 26 636 10: 28 684 11: 30 732 12: 32 780 13: 34 828 14: 36 876 15: 38 924 16: 40 972 17: 42 1020 18: 44 1068 19: 46 1116 20: 48 1164 Slope: 24.000 Intercept: 12.000 R squared: 1.000 Correlation: 1.000 Covariance: 3192.000 Squared error: 0.000 Mean square error: 0.000 Estimated stand dev: 0.000
In this case there is a perfect fit.
A3 B3 1: 10 286 2: 12 341 3: 14 354 4: 16 405 5: 18 475 6: 20 512 7: 22 572 8: 24 589 9: 26 652 10: 28 699 11: 30 752 12: 32 804 13: 34 863 14: 36 909 15: 38 943 16: 40 994 17: 42 1070 18: 44 1074 19: 46 1151 20: 48 1199 Slope: 24.206 Intercept: 30.226 R squared: 0.998 Correlation: 0.999 Covariance: 3219.400 Squared error: 3116.304 Mean square error: 173.128 Estimated stand dev: 13.158 T statistic: 94.881 18 Degrees of freedom F statistic: 9002.455 1, 18 Degrees of freedom
A4 B4 1: 10 592 2: 12 710 3: 14 408 4: 16 486 5: 18 754 6: 20 692 7: 22 860 8: 24 598 9: 26 796 10: 28 834 11: 30 932 12: 32 1020 13: 34 1178 14: 36 1206 15: 38 1114 16: 40 1192 17: 42 1520 18: 44 1128 19: 46 1466 20: 48 1514 Slope: 26.060 Intercept: 194.256 R squared: 0.853 Correlation: 0.924 Covariance: 3466.000 Squared error:311630.376 Mean square error:17312.799 Estimated stand dev: 131.578 T statistic: 10.215 18 Degrees of freedom F statistic: 104.344 1, 18 Degrees of freedom
A5 B5 1: 10 1272 2: 12 1530 3: 14 528 4: 16 666 5: 18 1374 6: 20 1092 7: 22 1500 8: 24 618 9: 26 1116 10: 28 1134 11: 30 1332 12: 32 1500 13: 34 1878 14: 36 1866 15: 38 1494 16: 40 1632 17: 42 2520 18: 44 1248 19: 46 2166 20: 48 2214 Slope: 30.180 Intercept: 558.767 R squared: 0.463 Correlation: 0.681 Covariance: 4014.000 Squared error:2804673.383 Mean square error:155815.188 Estimated stand dev: 394.734 T statistic: 3.943 18 Degrees of freedom F statistic: 15.550 1, 18 Degrees of freedom
A6 B6 1: 10 8000 2: 12 6480 3: 14 5120 4: 16 3920 5: 18 2880 6: 20 2000 7: 22 1280 8: 24 720 9: 26 320 10: 28 80 11: 30 0 12: 32 80 13: 34 320 14: 36 720 15: 38 1280 16: 40 2000 17: 42 2880 18: 44 3920 19: 46 5120 20: 48 6480 Slope: -40.000 Intercept: 3840.000 R squared: 0.036 Correlation: -0.191 Covariance:-5320.000 Squared error:112358400.000 Mean square error:6242133.333 Estimated stand dev: 2498.426 T statistic: -0.826 18 Degrees of freedom F statistic: 0.682 1, 18 Degrees of freedomThe regression results indicate no result, but if make a graph of the data you will see that there clearly is some kind of a curved relationship.