Question

SUMMARY OUTPUT Regression Statistics Multiple R 0.92585919 R Square 0.85721525 Adjusted R Square 0.84928276 Standard Error...

SUMMARY OUTPUT
Regression Statistics
Multiple R 0.92585919
R Square 0.85721525
Adjusted R Square 0.84928276
Standard Error 14.7134321
Observations 20
ANOVA
df SS MS F Significance F
Regression 1 23394.2185 23394.2185 108.063881 4.9013E-09
Residual 18 3896.73153 216.485085
Total 19 27290.95
Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept -260.93886 39.3752125 -6.626983 3.2026E-06 -343.66312 -178.21461 -343.66312 -178.21461
Height 5.92431175 0.56989864 10.3953779 4.9013E-09 4.72699913 7.12162438 4.72699913 7.12162438
RESIDUAL OUTPUT
Observation Predicted Weight Residuals
1 106.368464 8.63153552
2 153.762959 -13.762959
3 135.990023 -0.9900233
4 159.68727 -23.68727
5 189.308829 -9.308829
6 195.233141 1.7668592
7 141.914335 -5.914335
8 112.292776 -5.2927762
9 118.217088 -8.217088
10 135.990023 -10.990023
11 135.990023 4.00997675
12 141.914335 11.085665
13 118.217088 2.78291201
14 94.519841 2.48015903
15 213.006076 36.9939239
16 218.930388 -18.930388
17 130.065711 -12.065711
18 124.1414 19.8586003
19 135.990023 17.0099767
20 177.460206 4.53979446

R-square value:

What does this tell you?

P-value and confidence interval:

Is your p-value and confidence interval significant? (alpha = 0.05)

Math   Statistics-And-Probability   
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