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υ R COMMANDER
Apartat 3:
Frequency table: RY RX 0 1 2 3 4 5 2 0 0 8 12 10 19 4 0 9 30 18 10 14 8 8 25 29 24 12 3 12 14 26 16 5 0 0 16 15 13 0 0 0 0
Pearson's Chi-squared test
data: .Table X-squared = 191.06, df = 20, p-value < 2.2e-
Total percentages: 0 1 2 3 4 5 Total 2 0.0 0.0 2.5 3.8 3.1 5.9 15. 4 0.0 2.8 9.4 5.6 3.1 4.4 25. 8 2.5 7.8 9.1 7.5 3.8 0.9 31. 12 4.4 8.1 5.0 1.6 0.0 0.0 19. 16 4.7 4.1 0.0 0.0 0.0 0.0 8. Total 11.6 22.8 25.9 18.4 10.0 11.2 100.
Pearson's Chi-squared test
data: .Table Row percentages:
φ R COMMANDER
RY
RX 0 1 2 3 4 5 Total Count 2 0.0 0.0 16.3 24.5 20.4 38.8 100.0 49 4 0.0 11.1 37.0 22.2 12.3 17.3 99.9 81 8 7.9 24.8 28.7 23.8 11.9 3.0 100.1 101 12 23.0 42.6 26.2 8.2 0.0 0.0 100.0 61 16 53.6 46.4 0.0 0.0 0.0 0.0 100.0 28
Pearson's Chi-squared test
data: .Table X-squared = 191.06, df = 20, p-value < 2.2e-
Column percentages: RY RX 0 1 2 3 4 5 2 0.0 0.0 9.6 20.3 31.2 52. 4 0.0 12.3 36.1 30.5 31.2 38. 8 21.6 34.2 34.9 40.7 37.5 8. 12 37.8 35.6 19.3 8.5 0.0 0. 16 40.5 17.8 0.0 0.0 0.0 0. Total 99.9 99.9 99.9 100.0 99.9 100. Count 37.0 73.0 83.0 59.0 32.0 36.
Pearson's Chi-squared test
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ψ R COMMANDER
Apartat 7:
summary(RegModel.1)
Call: lm(formula = X ~ Y, data = Activitat_4)
Residuals: Min 1Q Median 3Q Max -6.0188 -2.1615 -0.0188 2.1238 6.
Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 11.7335 0.3279 35.78 <2e-16 *** Y -1.8573 0.1211 -15.34 <2e-16 ***
Signif. codes: 0 '' 0.001 '' 0.01 '' 0.05 '.' 0.1 ' ' 1
Residual standard error: 3.226 on 318 degrees of freedom Multiple R-squared: 0.4254, Adjusted R-squared: 0. F-statistic: 235.4 on 1 and 318 DF, p-value: < 2.2e-
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