Hello

First Programme

data(cars)
attach(cars)
plot(cars)

colnames(cars)
## [1] "speed" "dist"
# Correlation coefficient value for Waist and Addipose tissue
cor(speed,dist)
## [1] 0.8068949
m1 <- lm(dist~speed)
summary(m1)
## 
## Call:
## lm(formula = dist ~ speed)
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -29.069  -9.525  -2.272   9.215  43.201 
## 
## Coefficients:
##             Estimate Std. Error t value Pr(>|t|)    
## (Intercept) -17.5791     6.7584  -2.601   0.0123 *  
## speed         3.9324     0.4155   9.464 1.49e-12 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 15.38 on 48 degrees of freedom
## Multiple R-squared:  0.6511, Adjusted R-squared:  0.6438 
## F-statistic: 89.57 on 1 and 48 DF,  p-value: 1.49e-12
confint(m1,level = 0.95)
##                  2.5 %    97.5 %
## (Intercept) -31.167850 -3.990340
## speed         3.096964  4.767853
predict(m1,interval="predict")
## Warning in predict.lm(m1, interval = "predict"): predictions on current data refer to _future_ responses
##          fit        lwr       upr
## 1  -1.849460 -34.499842  30.80092
## 2  -1.849460 -34.499842  30.80092
## 3   9.947766 -22.061423  41.95696
## 4   9.947766 -22.061423  41.95696
## 5  13.880175 -17.956287  45.71664
## 6  17.812584 -13.872245  49.49741
## 7  21.744993  -9.809601  53.29959
## 8  21.744993  -9.809601  53.29959
## 9  21.744993  -9.809601  53.29959
## 10 25.677401  -5.768620  57.12342
## 11 25.677401  -5.768620  57.12342
## 12 29.609810  -1.749529  60.96915
## 13 29.609810  -1.749529  60.96915
## 14 29.609810  -1.749529  60.96915
## 15 29.609810  -1.749529  60.96915
## 16 33.542219   2.247492  64.83695
## 17 33.542219   2.247492  64.83695
## 18 33.542219   2.247492  64.83695
## 19 33.542219   2.247492  64.83695
## 20 37.474628   6.222305  68.72695
## 21 37.474628   6.222305  68.72695
## 22 37.474628   6.222305  68.72695
## 23 37.474628   6.222305  68.72695
## 24 41.407036  10.174821  72.63925
## 25 41.407036  10.174821  72.63925
## 26 41.407036  10.174821  72.63925
## 27 45.339445  14.104995  76.57390
## 28 45.339445  14.104995  76.57390
## 29 49.271854  18.012832  80.53088
## 30 49.271854  18.012832  80.53088
## 31 49.271854  18.012832  80.53088
## 32 53.204263  21.898386  84.51014
## 33 53.204263  21.898386  84.51014
## 34 53.204263  21.898386  84.51014
## 35 53.204263  21.898386  84.51014
## 36 57.136672  25.761756  88.51159
## 37 57.136672  25.761756  88.51159
## 38 57.136672  25.761756  88.51159
## 39 61.069080  29.603089  92.53507
## 40 61.069080  29.603089  92.53507
## 41 61.069080  29.603089  92.53507
## 42 61.069080  29.603089  92.53507
## 43 61.069080  29.603089  92.53507
## 44 68.933898  37.220445 100.64735
## 45 72.866307  40.996976 104.73564
## 46 76.798715  44.752478 108.84495
## 47 76.798715  44.752478 108.84495
## 48 76.798715  44.752478 108.84495
## 49 76.798715  44.752478 108.84495
## 50 80.731124  48.487298 112.97495