Interpret the slope coefficient in each of the above estimated models, when x increase by one unit in Models 1
tutor4helpyou1.
y-hat = 14 + 7.34x
y-hat = 3 + 25 In(x)
In(y-hat) = 2 + 0.08x; se = 0.06
In(y-hat) = 2.5 + 0.48 In(x); se = 0.16
a.
Interpret the slope coefficient in each of the above estimated models, when x increase by one unit in Models 1 and 3 and by 1% in Models 2 and 4. (Round your answers to 2 decimal places.)
Model 1: y-hat increases by units. 7.34 ;
Model 2: y-hat increases by about units. 0.25
Model 3: y-hat increases by about percent. 8.00
.
Model 4: y-hat increases by about percent. .48
2.
b.
For each model, what is the predicted change in y when x increases by 6%, from 10 to 10.6? |
Model 1: y-hat increases by units. 4.40
Model 2: y-hat increases by units. 1.46
Model 3: y-hat increases by percent. 4.92
Model 4: y-hat increases by percent. 2.84
3. Consider the sample regressions for the linear, the logarithmic, the exponential, and the log-log models. For each of the estimated models, predict y when x equals 57. (Do not round intermediate calculations. Round your answers to 2 decimal places.) |
| Response Variable: y | Response Variable: ln(y) | ||
| Model 1 | Model 2 | Model 3 | Model 4 |
Intercept | 15.13 | −5.51 | 1.22 | 0.83 |
X | 1.42 | NA | 0.05 | NA |
ln(x) | NA | 24.45 | NA | 0.77 |
se | 19.54 | 16.10 | 0.12 | 0.10 |
| y-hat |
Model 1 | [removed] |
Model 2 | [removed] |
Model 3 | [removed] |
Model 4 | [removed] |
4. Eva, the owner of Eva's Second Time Around Wedding Dresses, currently has five dresses to be altered, shown in the order in which they arrived:
If Eva uses the shortest processing time first priority rule to schedule these jobs, what will be the average job tardiness?
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5. Eva, the owner of Eva's Second Time Around Wedding Dresses, currently has five dresses to be altered, shown in the order in which they arrived:
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11 years ago
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