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Question
A multiple regression analysis produced the following tables.| Predictor | Coefficients | Standard Error | t Statistic | p-value |
| Intercept | 624.5369 | 78.49712 | 7.956176 | 6.88E-06 |
| x1 | 8.569122 | 1.652255 | 5.186319 | 0.000301 |
| x2 | 4.736515 | 0.699194 | 6.774248 | 3.06E-05 |
| Source | df | SS | MS | F | p-value |
| Regression | 2 | 1660914 | 830457.1 | 58.31956 | 1.4E-06 |
| Residual | 11 | 156637.5 | 14239.77 | ||
| Total | 13 | 1817552 |
The adjusted R2 is ____________.
a) 0.9138
b) 0.9408
c) 0.8981
d) 0.8851
e) 0.8891
Answer
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Related questions
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Q:
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Q:
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Q:
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Q:
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Q:
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Q:
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Q:
A random sample of 400 items from a population shows that 160 of the sample items possess a given characteristic. A random sample of 400 items from a second population resulted in 110 of the sample items possessing the characteristic. Using this data, a 99% confidence interval is constructed to estimate the difference in population proportions which possess the given characteristic. The resulting confidence interval is _______.
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Q:
A researcher is interested in estimating the difference in two population proportions. A sample of 400 from each population results in sample proportions of .61 and .64. A 90% confidence interval for the difference in the population proportions is _______.
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Q:
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