Section B 1. What statistic or statistics would you recommend to estimate the strength of the...

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Section B 1. What statistic or statistics would you recommend to estimate the strength of the relationship between prody and commit (Job Survey data)? 2. What R commands would you use to generate the relevant estimates? 3. The regression equation for the relationship between age and autonomy (with the latter as the dependent variable) is autonom = 6.964 + 0.06230age r = r = 0.28 (a) Explain what 6.964 means. (b) Explain what 0.06230 means. (c) How well does the regression equation fit the data? (d) What is the likely level of autonom for someone aged 54? (e) Using R, how would you generate this regression information? 35 12 15000 40 21 11 3 4 3 3 2 3 2 2 3 2 2 1 223 6 36 21 37 2 1 11800 19 1 2 2 5 2 4 21 2 2 5 5 5 5 2 2 3 2 3 17600 38 4 5 4 1 4 35 3 3 3 2 1 2 2 4 4 4 8 38 2 1 18000 61 41 5 3 2 4 132 2 2 2 2 122 3 5 4 3 39 12 15600 37 8 3 2 4 2 3 2 3 3 2 4 5 451 344 8 40 2 1 13400 31 5 2 2 5 2 5 2 2 2 1 5 5 5 4 2 112 5 41 22 15000 43 21 4 3 2 2 2 3 4 2 3 3 3 3 3 1 142 0 42 31 13600 23 3 1 2 5 3 5 1 1 21 4 4 4 5 1 3 22 8 43 22 14000 27 5 14 14 11 1 2 4 5 4 4 2 1 2 I 9 44 11 15000 28 7 3 3 1 3 3 3 5 3 3 1 2 2 11 2 4 3 9 45 1 1 13200 0 10 1 14 14 2 2 2 2 4 25 51 4 13 10 46 31 13400 18 1 4 2 3 4 2 2 3 3 2 4 3 541 4 3 4 03 3 47 12 20600 48 23. 3 4 3 3 3 2 2 3 2 213 22 4 4 3 8 48 49 12 12 13600 29 10 2 3 5 4 4 2 2 213 4 2 2 1 50 1 1 14600 42 10 18200 53 12 2 2 3 3 3 2 2 1 2 5 5 5 5 2 4 525145 3 4 2 2 344 144 11 0 51 I 1 15200 32 12 3 24 14 32 2 3 3 3 2 2 24 4 4 421 I 23 2 1 52 12 53 11 13000 31 2 19000 55 19 1 3 5 1 5 22 3 2 5 4 4 52 1 3 1 8 5 4 3 5 3 5 4 3 3 3 4 3 31 3 4 3 54 3 2 14800 26 8 4 4 3 3 4 5 2 3 12 12 2 4 3 3 2 55 12 17200 53 22 3 4 2 3 1 3 4 4 3 2 1221 355 56 1 1 15600 51 31 2 3 3 3 3 3 2 4 4 5 4 5 5 1 41 1 02080 57 1 1 15400 48 23 3 1 4 3 4 2 2 2 2 5 5 451 1 3 2 6 58 12 13800 48 28 1 I 4 1 5 2 2 2 1 5 5 5 5 2 14 3 4 59 22 15800 62 40 1 2 3 2 5 22 3 2 5 4 4 5 2 11 5 7 60 2 1 17400 57 13 2 3 4 2 3 2 3 1 2 3 3 431 441 61 1 2 17800 42 20 54 2 2 2 3 3 3 3 2 1 242 3 3 3 62 1 1 63 3 2 14200 21 2 12800 26 8 1 231 4 2 3 21 3 3 3 3 1 4 2 2 3 13 2412 1 1 2 3 3 2 1 41 1 64 12 13600 46 0 1252 431 2 2 5 5 5 5 2 2 3 4 65 1 2 21000 59 21 4 3 2 4 222 3 3 2 3 2 2 2 45 1 420454 4 66 4 2 14200 30 8 0 3 3 2 4 2 3 2 2 5 4 4 41 2 23 2 6711 14600 29 8 3 2 2 3 3 2 3 21 5 3 4 3 2 1 4 5 10 68 3 1 69 31 13800 45 16000 53 9 2 3 4 3 4 3 3 3 3 3 4 3 3 2 2 3 4 9 30 3 2 5 3 2 2 1 2 2 4 5 3 4 2 21 4 2 70 11 13800 47 22 2 3 4 2 5 2 3 4 2 4 3 541 244 11 01 II 16600 29 02 21 03 14600 26 3117800 40 TABLE 2.1 The Job Survey data 14 0 3 4 4 24 2 2 2 2 3 2 5200 2322 1 2 3 4 4 4 2 3 0 1 13 4 4 5 4 4 4 4 121 2 2 2 1 2 3 14 34 04 3 1 16400 46 15 2 2 5 2 4 1 2 2 2 3 2 2 3 2 3 3 4 05 2 2 18600 63 36 4 3 4 4 1 2 3 3 3 4 5 5 4 1 353 06 1 1 16000 54 31 2 2 5 3 3 2 1 1 2 4 4 4 4 1 1 3 4 07 11 16600 29 2 0 3 3 2 3 2 2 3 2 3 5 4 2 2 3 5 2 08 3117600 35 2 5 2 2 4 2 3 4 3 2 3 3 3 2 2 3 44 09 2 2 17600 33 4 3 3 12 4 2 3 4 1 2 2 3 2 2 2 1 1 10 2 2 13800 27 6 4 3 2 3 3 2 1 3 2 3 4 3 5 12 2 4 11 11 14200 29 4 2 2 4 1421 1 2 5 4 3 4 2 2 2 3 7804010254 00 8 12 21 0 19 2 1 13 4 1 18000 55 35 3 3 3 4 1 5 2 4 1 1 1 1 222 3 2 5 5 5 4 3 4 3 3 13 2 3 4 14 35 1 14 1 2 17000 29 1 2 3 4 2 4 2 2 3 1 4 3 4 4 1 1 2 2 0 15 31 18200 48 8 3 3 2 2 1 3 2 4 4 2 3 3 3 2 4 5 5 1 16 2 1 15800 32 7 3 3 4 2 2 2 3 1 2 4 2 2 2 2 2 23 4 17 II 16600 48 14 3 3 3 2 4 1 2 2 2 4 5 4 4 12 53 1 18 1 2 13400 18 1 2 2 4 2 4 2 3 2 2 5 5 5 1 1 2 3 3 6 19 3 2 15000 28 2 4 4 2 3 2 3 4 3 3 3 2 3 2 2 3 4 4 3 20 3 2 17600 37 1 3 2 3 3 3 3 2 1 2 5 4 4 511 4 1 3 21 I I 0 43 16 1 4 4 3 3 3 2 3 3 3 2 4 4 245 2 6 22 II 17400 39 6 3 2 3 2 3 3 2 2 3 4 3 5 3 2 1 15 5 25 3217000 43 23 11 18000 53 5 24 2 2 16000 34 26 II 14000 21 I 4 4 2 2 3 1 4 3 4 4 4 3 2 2 3 5 4 2 1 3 3 5 13 97 1 3 4 1 5 12 11 3 4 4 3 2 1 33 4 3 4 5 3 31 3 2 3 2 4 4 1 3 52 4 3 3 4 2 3 2 2 12 55 27 II 16200 50 28 28 12 12400 31 9 29 11 13600 31 12 30 22 3 2 3 3 4 21 1 2 5 5 5 4 12 2 4 125 14 2 2 1 2 4 4 5 4 2 3 5 5 3 3 4 3 3 3 2 2 3 2 3 12 13 5 4 31 I I 16400 52 21 14400 54 12 3 5 3 2 3 2 3 2 3 3 3 3 2 2 2 2 2 4 4 3 10 3 3 3 2 3 2 4 3 4 4 24 42 99 32 3 2 33 22 12400 28 10 2 2 4 16600 50 23 34 2 2 16000 52 21 15 1 2 2 2 3 3 3 2 1 2 4 4 4 4 3 4 3 4 2 3 4 3 3 3 3 2 3 4 5 02380bogan 9 6 9 5 5 4 3 3 3 3 4 3 3 2 3 3 2 1 3 2 5 4 Section B 1. What statistic or statistics would you recommend to estimate the strength of the relationship between prody and commit (Job Survey data)? 2. What R commands would you use to generate the relevant estimates? 3. The regression equation for the relationship between age and autonomy (with the latter as the dependent variable) is autonom = 6.964 + 0.06230age r = r = 0.28 (a) Explain what 6.964 means. (b) Explain what 0.06230 means. (c) How well does the regression equation fit the data? (d) What is the likely level of autonom for someone aged 54? (e) Using R, how would you generate this regression information? 35 12 15000 40 21 11 3 4 3 3 2 3 2 2 3 2 2 1 223 6 36 21 37 2 1 11800 19 1 2 2 5 2 4 21 2 2 5 5 5 5 2 2 3 2 3 17600 38 4 5 4 1 4 35 3 3 3 2 1 2 2 4 4 4 8 38 2 1 18000 61 41 5 3 2 4 132 2 2 2 2 122 3 5 4 3 39 12 15600 37 8 3 2 4 2 3 2 3 3 2 4 5 451 344 8 40 2 1 13400 31 5 2 2 5 2 5 2 2 2 1 5 5 5 4 2 112 5 41 22 15000 43 21 4 3 2 2 2 3 4 2 3 3 3 3 3 1 142 0 42 31 13600 23 3 1 2 5 3 5 1 1 21 4 4 4 5 1 3 22 8 43 22 14000 27 5 14 14 11 1 2 4 5 4 4 2 1 2 I 9 44 11 15000 28 7 3 3 1 3 3 3 5 3 3 1 2 2 11 2 4 3 9 45 1 1 13200 0 10 1 14 14 2 2 2 2 4 25 51 4 13 10 46 31 13400 18 1 4 2 3 4 2 2 3 3 2 4 3 541 4 3 4 03 3 47 12 20600 48 23. 3 4 3 3 3 2 2 3 2 213 22 4 4 3 8 48 49 12 12 13600 29 10 2 3 5 4 4 2 2 213 4 2 2 1 50 1 1 14600 42 10 18200 53 12 2 2 3 3 3 2 2 1 2 5 5 5 5 2 4 525145 3 4 2 2 344 144 11 0 51 I 1 15200 32 12 3 24 14 32 2 3 3 3 2 2 24 4 4 421 I 23 2 1 52 12 53 11 13000 31 2 19000 55 19 1 3 5 1 5 22 3 2 5 4 4 52 1 3 1 8 5 4 3 5 3 5 4 3 3 3 4 3 31 3 4 3 54 3 2 14800 26 8 4 4 3 3 4 5 2 3 12 12 2 4 3 3 2 55 12 17200 53 22 3 4 2 3 1 3 4 4 3 2 1221 355 56 1 1 15600 51 31 2 3 3 3 3 3 2 4 4 5 4 5 5 1 41 1 02080 57 1 1 15400 48 23 3 1 4 3 4 2 2 2 2 5 5 451 1 3 2 6 58 12 13800 48 28 1 I 4 1 5 2 2 2 1 5 5 5 5 2 14 3 4 59 22 15800 62 40 1 2 3 2 5 22 3 2 5 4 4 5 2 11 5 7 60 2 1 17400 57 13 2 3 4 2 3 2 3 1 2 3 3 431 441 61 1 2 17800 42 20 54 2 2 2 3 3 3 3 2 1 242 3 3 3 62 1 1 63 3 2 14200 21 2 12800 26 8 1 231 4 2 3 21 3 3 3 3 1 4 2 2 3 13 2412 1 1 2 3 3 2 1 41 1 64 12 13600 46 0 1252 431 2 2 5 5 5 5 2 2 3 4 65 1 2 21000 59 21 4 3 2 4 222 3 3 2 3 2 2 2 45 1 420454 4 66 4 2 14200 30 8 0 3 3 2 4 2 3 2 2 5 4 4 41 2 23 2 6711 14600 29 8 3 2 2 3 3 2 3 21 5 3 4 3 2 1 4 5 10 68 3 1 69 31 13800 45 16000 53 9 2 3 4 3 4 3 3 3 3 3 4 3 3 2 2 3 4 9 30 3 2 5 3 2 2 1 2 2 4 5 3 4 2 21 4 2 70 11 13800 47 22 2 3 4 2 5 2 3 4 2 4 3 541 244 11 01 II 16600 29 02 21 03 14600 26 3117800 40 TABLE 2.1 The Job Survey data 14 0 3 4 4 24 2 2 2 2 3 2 5200 2322 1 2 3 4 4 4 2 3 0 1 13 4 4 5 4 4 4 4 121 2 2 2 1 2 3 14 34 04 3 1 16400 46 15 2 2 5 2 4 1 2 2 2 3 2 2 3 2 3 3 4 05 2 2 18600 63 36 4 3 4 4 1 2 3 3 3 4 5 5 4 1 353 06 1 1 16000 54 31 2 2 5 3 3 2 1 1 2 4 4 4 4 1 1 3 4 07 11 16600 29 2 0 3 3 2 3 2 2 3 2 3 5 4 2 2 3 5 2 08 3117600 35 2 5 2 2 4 2 3 4 3 2 3 3 3 2 2 3 44 09 2 2 17600 33 4 3 3 12 4 2 3 4 1 2 2 3 2 2 2 1 1 10 2 2 13800 27 6 4 3 2 3 3 2 1 3 2 3 4 3 5 12 2 4 11 11 14200 29 4 2 2 4 1421 1 2 5 4 3 4 2 2 2 3 7804010254 00 8 12 21 0 19 2 1 13 4 1 18000 55 35 3 3 3 4 1 5 2 4 1 1 1 1 222 3 2 5 5 5 4 3 4 3 3 13 2 3 4 14 35 1 14 1 2 17000 29 1 2 3 4 2 4 2 2 3 1 4 3 4 4 1 1 2 2 0 15 31 18200 48 8 3 3 2 2 1 3 2 4 4 2 3 3 3 2 4 5 5 1 16 2 1 15800 32 7 3 3 4 2 2 2 3 1 2 4 2 2 2 2 2 23 4 17 II 16600 48 14 3 3 3 2 4 1 2 2 2 4 5 4 4 12 53 1 18 1 2 13400 18 1 2 2 4 2 4 2 3 2 2 5 5 5 1 1 2 3 3 6 19 3 2 15000 28 2 4 4 2 3 2 3 4 3 3 3 2 3 2 2 3 4 4 3 20 3 2 17600 37 1 3 2 3 3 3 3 2 1 2 5 4 4 511 4 1 3 21 I I 0 43 16 1 4 4 3 3 3 2 3 3 3 2 4 4 245 2 6 22 II 17400 39 6 3 2 3 2 3 3 2 2 3 4 3 5 3 2 1 15 5 25 3217000 43 23 11 18000 53 5 24 2 2 16000 34 26 II 14000 21 I 4 4 2 2 3 1 4 3 4 4 4 3 2 2 3 5 4 2 1 3 3 5 13 97 1 3 4 1 5 12 11 3 4 4 3 2 1 33 4 3 4 5 3 31 3 2 3 2 4 4 1 3 52 4 3 3 4 2 3 2 2 12 55 27 II 16200 50 28 28 12 12400 31 9 29 11 13600 31 12 30 22 3 2 3 3 4 21 1 2 5 5 5 4 12 2 4 125 14 2 2 1 2 4 4 5 4 2 3 5 5 3 3 4 3 3 3 2 2 3 2 3 12 13 5 4 31 I I 16400 52 21 14400 54 12 3 5 3 2 3 2 3 2 3 3 3 3 2 2 2 2 2 4 4 3 10 3 3 3 2 3 2 4 3 4 4 24 42 99 32 3 2 33 22 12400 28 10 2 2 4 16600 50 23 34 2 2 16000 52 21 15 1 2 2 2 3 3 3 2 1 2 4 4 4 4 3 4 3 4 2 3 4 3 3 3 3 2 3 4 5 02380bogan 9 6 9 5 5 4 3 3 3 3 4 3 3 2 3 3 2 1 3 2 5 4