Call:

lm(formula = y ~ x)

Coefficients:

(Intercept) x

-45.96887 0.01367

…..

Call:

lm(formula = y ~ x)

Residuals:

Min 1Q Median 3Q Max

-42.751 -9.068 -6.063 11.882 43.158

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) -45.968867 15.694147 -2.929 0.0126 *

x 0.013672 0.002153 6.350 3.66e-05 ***

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Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1

Residual standard error: 22.82 on 12 degrees of freedom

Multiple R-squared: 0.7707, Adjusted R-squared: 0.7515

F-statistic: 40.32 on 1 and 12 DF, p-value: 3.664e-05

PODSUMOWANIE REGRESJI

Min. 1st Qu. Median Mean 3rd Qu. Max. >>pods. X

2175 4472 6600 6716 9463 11090

Min. 1st Qu. Median Mean 3rd Qu. Max.

2.80 12.10 30.05 45.86 67.25 143.50 > .pods. y

4 wykresy ???

Funkcja kwadratowa

SUMMARY

Call:

lm(formula = y ~ x + I(x^2))

Residuals:

Min 1Q Median 3Q Max

-35.266 -6.996 1.448 5.737 30.086

Coefficients:

Estimate Std. Error t value Pr(>|t|)

(Intercept) 2.596e+01 3.141e+01 0.826 0.4261

x -1.187e-02 1.030e-02 -1.152 0.2737

I(x^2) 1.875e-06 7.445e-07 2.518 0.0286 *

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Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1

Residual standard error: 18.98 on 11 degrees of freedom

Multiple R-squared: 0.8545, Adjusted R-squared: 0.8281

F-statistic: 32.3 on 2 and 11 DF, p-value: 2.487e-05

Param. Do kwadratowej

Call:

lm(formula = y ~ x + I(x^2))

Coefficients:

(Intercept) x I(x^2)

2.596e+01 -1.187e-02 1.874e-06

Param. Do pot. 5

Call:

lm(formula = y ~ x + I(x^2) + I(x^3) + I(x^4) + I(x^5))

Coefficients:

(Intercept) x I(x^2) I(x^3) I(x^4) I(x^5)

6.047e+02 -6.419e-01 2.490e-04 -4.410e-08 3.631e-12 -1.119e-16

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