Your Cart
Loading

Wind vs Precipitation My Long-Range Climate Forecasts in Statistics.

 View(windprecip)

> summary(windprecip)

   Wind    Precipitation  

 Min.  : 0.00  Min.  : 0.00  

 1st Qu.:100.00  1st Qu.: 0.00  

 Median :100.00  Median :100.00  

 Mean  : 79.52  Mean  : 73.49  

 3rd Qu.:100.00  3rd Qu.:100.00  

 Max.  :100.00  Max.  :100.00  

> plot(windprecip)

> cor(windprecip)

          Wind Precipitation

Wind     1.00000000  0.03341267

Precipitation 0.03341267  1.00000000

> windprecip.lm <- lm(wind ~ precipitation, data = windprecip)

Error in eval(predvars, data, env) : object 'wind' not found

> windprecip.lm <-(Wind ~ Precipitation, data = windprecip)

Error: unexpected ',' in "windprecip.lm <-(Wind ~ Precipitation,"

> windprecip.lm <- lm(Wind ~ Precipitation, data = windprecip)

> summary(windprecip)

   Wind    Precipitation  

 Min.  : 0.00  Min.  : 0.00  

 1st Qu.:100.00  1st Qu.: 0.00  

 Median :100.00  Median :100.00  

 Mean  : 79.52  Mean  : 73.49  

 3rd Qu.:100.00  3rd Qu.:100.00  

 Max.  :100.00  Max.  :100.00  

> 

> windprecip.lm <- lm(Wind ~ Precipitation, data = windprecip)

> summary(windprecip.lm)


Call:

lm(formula = Wind ~ Precipitation, data = windprecip)


Residuals:

  Min   1Q Median   3Q  Max 

-80.33 19.67 19.67 19.67 22.73 


Coefficients:

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

(Intercept)  77.27273  8.70484  8.877 1.39e-13 ***

Precipitation 0.03055  0.10154  0.301  0.764   

---

Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1


Residual standard error: 40.83 on 81 degrees of freedom

Multiple R-squared: 0.001116, Adjusted R-squared: -0.01122 

F-statistic: 0.09053 on 1 and 81 DF, p-value: 0.7643