|
SAT |
Income |
GPA |
|
1651 |
47000 |
2.79 |
|
1581 |
34000 |
2.97 |
|
1790 |
90000 |
3.48 |
|
1626 |
60000 |
2.5 |
|
1754 |
113000 |
2.92 |
|
1754 |
71000 |
3.76 |
|
1706 |
105000 |
2.8 |
|
1765 |
59000 |
3.26 |
|
1786 |
50000 |
3.89 |
|
1686 |
27000 |
3.67 |
|
1790 |
107000 |
3.31 |
|
1707 |
109000 |
3.16 |
|
1804 |
81000 |
3.73 |
|
1712 |
62000 |
3.21 |
|
1607 |
72000 |
2.8 |
|
1738 |
63000 |
3.7 |
|
1790 |
55000 |
3.86 |
|
1796 |
64000 |
3.91 |
|
1547 |
47000 |
2.63 |
|
1692 |
89000 |
2.98 |
|
1711 |
42000 |
3.45 |
|
1689 |
70000 |
3.06 |
|
1740 |
118000 |
2.88 |
|
1940 |
113000 |
3.96 |
Homework Answers
applying Regression":
| Regression Statistics | ||||||||
| Multiple R | 0.9300 | |||||||
| R Square | 0.8649 | |||||||
| Adjusted R Square | 0.8520 | |||||||
| Standard Error | 32.4902 | |||||||
| Observations | 24 | |||||||
| ANOVA | ||||||||
| df | SS | MS | F | Significance F | ||||
| Regression | 2 | 141927.9571 | 70963.9786 | 67.2254 | 0.0000 | |||
| Residual | 21 | 22167.8762 | 1055.6132 | |||||
| Total | 23 | 164095.8333 | ||||||
| Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
| Intercept | 1104.2580 | 54.7524 | 20.1682 | 0.0000 | 990.3941 | 1218.1218 | 990.3941 | 1218.1218 |
| Income | 0.0017 | 0.0003 | 6.7696 | 0.0000 | 0.0012 | 0.0022 | 0.0012 | 0.0022 |
| GPA | 150.9920 | 15.0931 | 10.0040 | 0.0000 | 119.6042 | 182.3798 | 119.6042 | 182.3798 |
a-3)test statistic for Income =6.770
a-4) p value <0.01
a-7) test statistic for GPA =10.004
a-8) p value <0.01
b-2) test statistic F =67.225
b-3) p value <0.01
c-1) predicted SAT score =1769.10
Add Answer to:
SAT
Income
GPA
1651
47000
2.79
1581
34000
2.97
1790
90000
3.48
1626
60000
2.5
1754...
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