Produzione Mais Su Totale Produzione Crops

Produzione Mais Su Totale Produzione Crops

Produzione mais su totale produzione crops

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ MAIZ.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-29.81 -11.43 -3.512 7.848 55.18

Coefficients:

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

(Intercept) 14.1344 2.8241 5.0049 0.0000

MAIZ.tot 105.3739 35.0476 3.0066 0.0039

Residual standard error: 15.53 on 59 degrees of freedom

Multiple R-Squared: 0.1329

F-statistic: 9.04 on 1 and 59 degrees of freedom, the p-value is 0.003877

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ SESA.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-24.63 -13.83 -2.999 6.555 52.99

Coefficients:

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

(Intercept) 18.8291 2.2268 8.4556 0.0000

SESA.tot 1141.8131 669.8515 1.7046 0.0935

Residual standard error: 16.28 on 59 degrees of freedom

Multiple R-Squared: 0.04694

F-statistic: 2.906 on 1 and 59 degrees of freedom, the p-value is 0.09353

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ SORG.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-21.08 -12.06 -2.977 7.376 54.66

Coefficients:

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

(Intercept) 17.0618 2.0502 8.3219 0.0000

SORG.tot 136.0936 34.2128 3.9779 0.0002

Residual standard error: 14.81 on 59 degrees of freedom

Multiple R-Squared: 0.2115

F-statistic: 15.82 on 1 and 59 degrees of freedom, the p-value is 0.0001926

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ BEET.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-19.18 -11.68 -2.676 5.324 51.32

Coefficients:

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

(Intercept) 21.6765 2.1337 10.1590 0.0000

BEET.tot -120.3486 50.2020 -2.3973 0.0197

Residual standard error: 15.92 on 59 degrees of freedom

Multiple R-Squared: 0.08876

F-statistic: 5.747 on 1 and 59 degrees of freedom, the p-value is 0.0197

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ CASS.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-21.32 -12.25 -2.588 6.752 56.75

Coefficients:

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

(Intercept) 16.2483 2.2292 7.2887 0.0000

CASS.tot 41.2741 11.6140 3.5538 0.0008

Residual standard error: 15.14 on 59 degrees of freedom

Multiple R-Squared: 0.1763

F-statistic: 12.63 on 1 and 59 degrees of freedom, the p-value is 0.0007548

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ CITR.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-22.36 -9.387 -2.981 5.103 48.46

Coefficients:

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

(Intercept) 25.7394 2.5653 10.0337 0.0000

CITR.tot -261.6012 77.8600 -3.3599 0.0014

Residual standard error: 15.28 on 59 degrees of freedom

Multiple R-Squared: 0.1606

F-statistic: 11.29 on 1 and 59 degrees of freedom, the p-value is 0.001372

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ FRUI.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-22.48 -11.49 -1.249 6.71 48.87

Coefficients:

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

(Intercept) 25.3496 2.7236 9.3074 0.0000

FRUI.tot -77.9608 27.7123 -2.8132 0.0067

Residual standard error: 15.66 on 59 degrees of freedom

Multiple R-Squared: 0.1183

F-statistic: 7.914 on 1 and 59 degrees of freedom, the p-value is 0.006652

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ MILL.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-24.28 -13.51 -3.507 8.493 53.15

Coefficients:

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

(Intercept) 18.5066 2.2101 8.3737 0.0000

MILL.tot 192.6471 92.7065 2.0780 0.0421

Residual standard error: 16.1 on 59 degrees of freedom

Multiple R-Squared: 0.0682

F-statistic: 4.318 on 1 and 59 degrees of freedom, the p-value is 0.04207

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ OILC.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-19.09 -10.82 -2.642 5.413 56.33

Coefficients:

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

(Intercept) 21.5873 2.2151 9.7455 0.0000

OILC.tot -155.7843 84.4755 -1.8441 0.0702

Residual standard error: 16.22 on 59 degrees of freedom

Multiple R-Squared: 0.0545

F-statistic: 3.401 on 1 and 59 degrees of freedom, the p-value is 0.07019

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ OTHC.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-21.34 -13.82 -2.241 7.759 52.76

Coefficients:

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

(Intercept) 19.2405 2.1169 9.0890 0.0000

OTHC.tot 302.1919 150.8120 2.0038 0.0497

Residual standard error: 16.14 on 59 degrees of freedom

Multiple R-Squared: 0.06372

F-statistic: 4.015 on 1 and 59 degrees of freedom, the p-value is 0.04969

** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ OTHR.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-22.48 -13.13 -3.164 8.06 53.14

Coefficients:

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

(Intercept) 18.1308 2.1171 8.5638 0.0000

OTHR.tot 161.4742 55.6849 2.8998 0.0052

Residual standard error: 15.6 on 59 degrees of freedom

Multiple R-Squared: 0.1247

F-statistic: 8.409 on 1 and 59 degrees of freedom, the p-value is 0.005238

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ PULS.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-25.6 -13.46 -3.134 7.22 53.02

Coefficients:

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

(Intercept) 18.0263 2.2844 7.8910 0.0000

PULS.tot 131.2803 61.1056 2.1484 0.0358

Residual standard error: 16.06 on 59 degrees of freedom

Multiple R-Squared: 0.07256

F-statistic: 4.616 on 1 and 59 degrees of freedom, the p-value is 0.0358

*** Linear Model ***

Call: lm(formula = Proportion.of.undernourished.popula ~ WHEA.tot, data =

Produziondati, na.action = na.exclude)

Residuals:

Min 1Q Median 3Q Max

-20.47 -11.97 -3.472 6.402 52.13

Coefficients:

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

(Intercept) 22.9750 2.3808 9.6502 0.0000

WHEA.tot -70.6072 30.6157 -2.3062 0.0246

Residual standard error: 15.97 on 59 degrees of freedom

Multiple R-Squared: 0.08269

F-statistic: 5.319 on 1 and 59 degrees of freedom, the p-value is 0.02463