In: Statistics and Probability
What does the refression sig level and r2 tell you about the model? Address possible collinearity of the IVs--look at their correlations. What do the T-Tests and sig level tell you about each variable and so on. Does anything suggest your model needs to be made smaller? Do any variables need to be dropped?
Table 1: Correlation | ||||||
OPS | RBI | AVG | HR | |||
OPS | 1 | |||||
RBI | 0.38983 | 1 | ||||
AVG | 0.505108 | 0.505046 | 1 | |||
HR | 0.449133 | 0.605869 | 0.588207 | 1 | ||
Table 2: Analysis of Variance | ||||||
Anova: Single Factor | ||||||
SUMMARY | ||||||
Groups | Count | Sum | Average | Variance | ||
OPS | 30 | 24.438 | 0.8146 | 0.024539 | ||
RBI | 30 | 2347 | 78.23333 | 942.4609 | ||
AVG | 30 | 8.232 | 0.2744 | 0.000677 | ||
HR | 30 | 801 | 26.7 | 115.6655 | ||
ANOVA | ||||||
Source of Variation | SS | df | MS | F | P-value | F crit |
Between Groups | 120717 | 3 | 40239 | 152.1105 | 4.83E-40 | 2.682809 |
Within Groups | 30686.4 | 116 | 264.5379 | |||
Total | 151403.4 | 119 | ||||