The table below is the output of the regression analysis of the 63 total payment for...

    

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The table below is the output of the regression analysis of the 63 total payment for all the claims in thousands of Swedish Kronor. Where is the X = number of claims and Y = total payment for all the claims in thousands of Polokwane Kronor for geographical zones in Polokwane: Regression analysis Multiple R R Square Adjusted R Square. Standard Error Observations ANOVA 0.912878 M 0.830615 35.94092 63 ANOVA Regression Residual Total Intercept X df 61 62 Coefficients 19.99449 3.413824 SS 394021.5 78796.74 472818.3 6.367757 0.195466 MS Standard Errort Stat Using the method of least squares, the estimated regression will be: 394021.5 1291.75 LL 305.0293 P-value 0.002605 2.05E-25 P-value 2.04664E-25 Lower 95% 7.261369448 N Upper 95% 32.72760207 O OAD=19.995-3.414x OB. 19.995 +3.414x OCD=3.414+19.995x OD 3.414-19.995x The table below is the output of the regression analysis of the 63 total payment for all the claims in thousands of Swedish Kronor. Where is the X = number of claims and Y = total payment for all the claims in thousands of Polokwane Kronor for geographical zones in Polokwane: Regression analysis Multiple R R Square Adjusted R Square. Standard Error Observations ANOVA 0.912878 M 0.830615 35.94092 63 ANOVA Regression Residual Total Intercept X df 61 62 Coefficients 19.99449 3.413824 SS 394021.5 78796.74 472818.3 6.367757 0.195466 MS Standard Errort Stat Using the method of least squares, the estimated regression will be: 394021.5 1291.75 LL 305.0293 P-value 0.002605 2.05E-25 P-value 2.04664E-25 Lower 95% 7.261369448 N Upper 95% 32.72760207 O OAD=19.995-3.414x OB. 19.995 +3.414x OCD=3.414+19.995x OD 3.414-19.995x

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