Question
Using New York City as the baseline. Currently you have an office in NYC, Using the provided data, which city would be the best to
Using New York City as the baseline. Currently you have an office in NYC,
Using the provided data, which city would be the best to open a second office in?
Discuss descriptive statistics for the significant predictors - up to 25% a. From the significant predictors, review the mean, median, min, max, Q1 and Q3 values. b. What city or cities fall above or below the median and/or the mean? c. What city or cities are in the upper 3rd quartile? Or the bottom quartile? d. How do these predictors compare to the baseline of NYC? What cost more or less money than NYC?
NYC cannot be one of the choices
Data:
City | Cost of Living Index | Rent (in City Centre) | Monthly Pubic Trans Pass | Loaf of Bread | Milk | Bottle of Wine (mid-range) | Coffee |
Mumbai | 31.74 | $1,642.68 | $7.66 | $0.41 | $2.93 | $10.73 | $1.63 |
Prague | 50.95 | $1,240.48 | $25.01 | $0.92 | $3.14 | $5.46 | $2.17 |
Warsaw | 45.45 | $1,060.06 | $30.09 | $0.69 | $2.68 | $6.84 | $1.98 |
Athens | 63.06 | $569.12 | $35.31 | $0.80 | $5.35 | $8.24 | $2.88 |
Rome | 78.19 | $2,354.10 | $41.20 | $1.38 | $6.82 | $7.06 | $1.51 |
Seoul | 83.45 | $2,370.81 | $50.53 | $2.44 | $7.90 | $17.57 | $1.79 |
Brussels | 82.2 | $1,734.75 | $57.68 | $1.66 | $4.17 | $8.24 | $1.51 |
Madrid | 66.75 | $1,795.10 | $64.27 | $1.04 | $3.63 | $5.89 | $1.58 |
Vancouver | 74.06 | $2,937.27 | $74.28 | $2.28 | $7.12 | $14.38 | $1.47 |
Paris | 89.94 | $2,701.61 | $85.92 | $1.56 | $4.68 | $8.24 | $1.51 |
Tokyo | 92.94 | $2,197.03 | $88.77 | $1.77 | $6.46 | $17.75 | $1.49 |
Berlin | 71.65 | $1,695.77 | $95.34 | $1.24 | $3.52 | $5.89 | $1.71 |
Amsterdam | 85.9 | $2,823.28 | $105.93 | $1.33 | $4.34 | $7.06 | $1.71 |
New York | 100 | $5,877.45 | $121.00 | $2.93 | $3.98 | $15.00 | $0.84 |
Sydney | 90.78 | $3,777.72 | $124.55 | $1.94 | $4.43 | $14.01 | $2.26 |
Dublin | 87.93 | $3,025.83 | $144.78 | $1.37 | $4.31 | $14.12 | $2.06 |
London | 88.33 | $4,069.99 | $173.81 | $1.23 | $4.63 | $10.53 | $1.90 |
mean | 75.49 | $2,463.12 | $78.01 | $1.47 | $4.71 | $10.41 | $1.76 |
median | 82.2 | $2,354.10 | $74.28 | $1.37 | $4.34 | $8.24 | $1.71 |
min | 31.74 | $569.12 | $7.66 | $0.41 | $2.68 | $5.46 | $0.84 |
max | 100 | $5,877.45 | $173.81 | $2.93 | $7.90 | $17.75 | $2.88 |
Q1 | 66.75 | $1,695.77 | $41.20 | $1.04 | $3.63 | $7.06 | $1.51 |
Q3 | 88.33 | $2,937.27 | $105.93 | $1.77 | $5.35 | $14.12 | $1.98 |
New York | 100 | $5,877.45 | $121.00 | $2.93 | $3.98 | $15.00 | $0.84 |
MLR:
SUMMARY OUTPUT | ||||||||
Regression Statistics | ||||||||
Multiple R | 0.935824078 | |||||||
R Square | 0.875766706 | |||||||
Adjusted R Square | 80.12% | |||||||
Standard Error | 8.30945321 | |||||||
Observations | 17 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Significance F | ||||
Regression | 6 | 4867.380768 | 811.2301279 | 11.74895331 | 0.00049963 | |||
Residual | 10 | 690.4701265 | 69.04701265 | |||||
Total | 16 | 5557.850894 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 35.63950178 | 15.41876933 | 2.311436213 | 0.043401141 | 1.284342794 | 69.99466077 | 1.284342794 | 69.99466077 |
Rent (in City Centre) | -0.003212852 | 0.003974813 | -0.808302603 | 0.437722785 | -0.012069287 | 0.005643584 | -0.012069287 | 0.005643584 |
Monthly Pubic Trans Pass | 0.299650003 | 0.076964051 | 3.89337619 | 0.002993072 | 0.128163411 | 0.471136595 | 0.128163411 | 0.471136595 |
Loaf of Bread | 16.59481787 | 6.713301249 | 2.47193106 | 0.032995588 | 1.636650533 | 31.55298521 | 1.636650533 | 31.55298521 |
Milk | 2.912081706 | 1.98941146 | 1.463790555 | 0.173964311 | -1.520603261 | 7.344766672 | -1.520603261 | 7.344766672 |
Bottle of Wine (mid-range) | -0.889805486 | 0.740190296 | -1.202130709 | 0.257006081 | -2.539052244 | 0.759441271 | -2.539052244 | 0.759441271 |
Coffee | -2.527438053 | 6.484555358 | -0.389762738 | 0.704884259 | -16.97592778 | 11.92105168 | -16.97592778 | 11.92105168 |
RESIDUAL OUTPUT | ||||||||
Observation | Predicted Cost of Living Index | Residuals | Standard Residuals | City | ||||
1 | 34.32607137 | -2.586071368 | -0.39366613 | Mumbai | ||||
2 | 53.21656053 | -2.266560525 | -0.345028417 | Prague | ||||
3 | 49.41436121 | -3.964361215 | -0.603477056 | Warsaw | ||||
4 | 58.63611785 | 4.42388215 | 0.673427882 | Athens | ||||
5 | 73.08449538 | 5.105504624 | 0.777188237 | Rome | ||||
6 | 86.50256003 | -3.052560026 | -0.464677621 | Seoul | ||||
7 | 75.89216916 | 6.307830843 | 0.960213003 | Brussels | ||||
8 | 67.7257781 | -0.975778105 | -0.148538356 | Madrid | ||||
9 | 90.51996071 | -16.45996071 | -2.50562653 | Vancouver | ||||
10 | 81.07358731 | 8.866412685 | 1.349694525 | Paris | ||||
11 | 83.80564633 | 9.134353675 | 1.390481989 | Tokyo | ||||
12 | 80.02510391 | -8.37510391 | -1.274904778 | Berlin | ||||
13 | 82.41624318 | 3.483756815 | 0.530316788 | Amsterdam | ||||
14 | 97.75654811 | 2.243451893 | 0.341510693 | New York | ||||
15 | 87.73993924 | 3.040060757 | 0.462774913 | Sydney | ||||
16 | 86.81668291 | 1.11331709 | 0.169475303 | Dublin | ||||
17 | 94.36817468 | -6.038174677 | -0.919164446 | London | ||||
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