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Means |
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Beta 1 hat | =(-248)/29.5 = |
-8.41
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Beta 0 hat | =290.67 - (-8.4)(3.5) = |
320.07
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P hat = 320.07 - 8.41 A
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Multiple R |
0.62
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R Square |
0.39
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Adjusted R Square |
0.23
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Standard Error |
28.74
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Observations |
6
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ANOVA | ||||||
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Regression |
1
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2084.88
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2084.88
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2.52
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0.19
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Residual |
4
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3304.45
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826.11
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Total |
5
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5389.33
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Intercept |
320.09
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21.93
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14.60
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0.00
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259.22
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380.97
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A=Absences |
-8.41
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5.29
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-1.59
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0.19
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-23.10
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6.29
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